CRAN Package Check Results for Maintainer ‘Martin Maechler <maechler at stat.math.ethz.ch>’

Last updated on 2026-02-06 11:51:44 CET.

Package	ERROR	NOTE	OK
Bessel			13
bitops			13
CLA			13
classGraph			13
cluster		1	12
cobs			13
copula		5	8
diptest			13
DPQ			13
DPQmpfr			13
expm			13
fracdiff			13
lokern			13
longmemo			13
lpridge			13
nor1mix			13
plugdensity		2	11
Rmpfr			13
robustbase			13
robustX	4		9
round			13
sca		2	11
sfsmisc			13
simest	3		10
stabledist			13
supclust		2	11
VLMC			13

Package Bessel

Current CRAN status: OK: 13

Package bitops

Current CRAN status: OK: 13

Package CLA

Current CRAN status: OK: 13

Package classGraph

Current CRAN status: OK: 13

Package cluster

Current CRAN status: NOTE: 1, OK: 12

Version: 2.1.8.1
Check: tests
Result: NOTE Running 'agnes-ex.R' [2s] Comparing 'agnes-ex.Rout' to 'agnes-ex.Rout.save' ... OK Running 'clara-NAs.R' [0s] Comparing 'clara-NAs.Rout' to 'clara-NAs.Rout.save' ... 47c47 < Min. 1st Qu. Median Mean 3rd Qu. Max. NAs --- > Min. 1st Qu. Median Mean 3rd Qu. Max. NA's Running 'clara-ex.R' [2s] Comparing 'clara-ex.Rout' to 'clara-ex.Rout.save' ... OK Running 'clara-gower.R' [0s] Running 'clara.R' [3s] Comparing 'clara.Rout' to 'clara.Rout.save' ... OK Running 'clusplot-out.R' [1s] Comparing 'clusplot-out.Rout' to 'clusplot-out.Rout.save' ... OK Running 'daisy-ex.R' [1s] Comparing 'daisy-ex.Rout' to 'daisy-ex.Rout.save' ... OK Running 'diana-boots.R' [2s] Running 'diana-ex.R' [0s] Comparing 'diana-ex.Rout' to 'diana-ex.Rout.save' ... OK Running 'ellipsoid-ex.R' [0s] Comparing 'ellipsoid-ex.Rout' to 'ellipsoid-ex.Rout.save' ... OK Running 'fanny-ex.R' [1s] Comparing 'fanny-ex.Rout' to 'fanny-ex.Rout.save' ... OK Running 'mona.R' [1s] Comparing 'mona.Rout' to 'mona.Rout.save' ... 213c213 < NAs :36 NAs :25 --- > NA's :36 NA's :25 218c218 < NAs :39 NAs :2 NAs :2 --- > NA's :39 NA's :2 NA's :2 222c222 < TRUE :73 TRUE :52 TRUE :97 NAs: 4 --- > TRUE :73 TRUE :52 TRUE :97 NA's: 4 227c227 < NAs: 4 NAs: 4 NAs: 4 NAs: 4 --- > NA's: 4 NA's: 4 NA's: 4 NA's: 4 229,232c229,232 < seasver everalw everparti elaio endozoo epizoo aquat windgl < 0 :126 0 :78 0 :112 0 :119 0 :93 0 :109 0 :128 0 :108 < 1 : 6 1 :54 1 : 20 1 : 12 1 :38 1 : 22 1 : 3 1 : 23 < NAs: 4 NAs: 4 NAs: 4 NAs: 5 NAs: 5 NAs: 5 NAs: 5 NAs: 5 --- > seasver everalw everparti elaio endozoo epizoo aquat > 0 :126 0 :78 0 :112 0 :119 0 :93 0 :109 0 :128 > 1 : 6 1 :54 1 : 20 1 : 12 1 :38 1 : 22 1 : 3 > NA's: 4 NA's: 4 NA's: 4 NA's: 5 NA's: 5 NA's: 5 NA's: 5 234,237c234,237 < unsp < 0 :93 < 1 :38 < NAs: 5 --- > windgl unsp > 0 :108 0 :93 > 1 : 23 1 :38 > NA's: 5 NA's: 5 Running 'pam.R' [32s] Comparing 'pam.Rout' to 'pam.Rout.save' ... OK Running 'silhouette-default.R' [3s] Comparing 'silhouette-default.Rout' to 'silhouette-default.Rout.save' ... OK Running 'sweep-ex.R' [0s] Flavor: r-devel-windows-x86_64

Package cobs

Current CRAN status: OK: 13

Package copula

Current CRAN status: NOTE: 5, OK: 8

Version: 1.1-6
Check: relative paths in package URLs
Result: NOTE Found the following (possibly) invalid URL: URL: ../doc/Frank-Rmpfr From: man/copula-package.Rd Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 1.1-6
Check: installed package size
Result: NOTE installed size is 7.8Mb sub-directories of 1Mb or more: R 2.4Mb doc 3.2Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 1.1-6
Flags: --no-vignettes
Check: installed package size
Result: NOTE installed size is 7.3Mb sub-directories of 1Mb or more: R 2.1Mb doc 3.2Mb Flavor: r-oldrel-windows-x86_64

Package diptest

Current CRAN status: OK: 13

Package DPQ

Current CRAN status: OK: 13

Package DPQmpfr

Current CRAN status: OK: 13

Package expm

Current CRAN status: OK: 13

Package fracdiff

Current CRAN status: OK: 13

Package lokern

Current CRAN status: OK: 13

Package longmemo

Current CRAN status: OK: 13

Package lpridge

Current CRAN status: OK: 13

Package nor1mix

Current CRAN status: OK: 13

Package plugdensity

Current CRAN status: NOTE: 2, OK: 11

Version: 0.8-5
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Martin Maechler <maechler@stat.math.ethz.ch>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: c(person(given = c("Eva", "Herrmann;", "R", "interface", "etc", "by", "Martin"), family = "Maechler", role = "aut", email = "eherrmann@mathematik.tu-darmstadt.de", comment = "C original"), person(given = "Martin", family = "Maechler", role = "cre", email = "maechler@stat.math.ethz.ch")) as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package Rmpfr

Current CRAN status: OK: 13

Package robustbase

Current CRAN status: OK: 13

Package robustX

Current CRAN status: ERROR: 4, OK: 9

Version: 1.2-7
Check: tests
Result: ERROR Running ‘L1med-tst.R’ [1s/2s] Running ‘cov-ex.R’ [1s/1s] Running the tests in ‘tests/cov-ex.R’ failed. Complete output: > library(robustX) > library(robustbase) > (newRB <- (packageVersion("robustbase") >= "0.99")) [1] TRUE > > sessionInfo() R Under development (unstable) (2026-02-04 r89376) Platform: x86_64-pc-linux-gnu Running under: Debian GNU/Linux forky/sid Matrix products: default BLAS: /home/hornik/tmp/R.check/r-devel-clang/Work/build/lib/libRblas.so LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.1; LAPACK version 3.12.0 locale: [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8 [4] LC_COLLATE=C LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8 [7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C [10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C time zone: Europe/Vienna tzcode source: system (glibc) attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] robustbase_0.99-7 robustX_1.2-7 loaded via a namespace (and not attached): [1] DEoptimR_1.1-4 compiler_4.6.0 > packageDescription("robustX") Package: robustX Type: Package Title: 'eXtra' / 'eXperimental' Functionality for Robust Statistics Version: 1.2-7 Date: 2023-06-14 Authors@R: c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910")) , person("Werner A.", "Stahel", role="aut", email="stahel@stat.math.ethz.ch") , person("Rolf", "Turner", role="ctb", email="r.turner@auckland.ac.nz", comment = "reclas()") , person("Ueli", "Oetliker", role="ctb", comment = "original version of BACON() and mvBACON for S+") , person("Tobias", "Schoch", role="ctb", comment = "init.sel=\"V2\" for BACON; fix alpha") ) Maintainer: Martin Maechler <maechler@stat.math.ethz.ch> Description: Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. Hence methods which are not well established, often related to methods in package 'robustbase'. Amazingly, 'BACON()', originally by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2> has become established in places. The "barrow wheel" `rbwheel()` is from Stahel and Mächler (2009) <doi:10.1111/j.1467-9868.2009.00706.x>. Imports: grDevices, graphics, stats, utils, robustbase (>= 0.92-3) Suggests: MASS, lattice, pcaPP Enhances: ICS License: GPL (>= 2) Encoding: UTF-8 NeedsCompilation: no Packaged: 2023-06-14 21:41:58 UTC; maechler Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner A. Stahel [aut], Rolf Turner [ctb] (reclas()), Ueli Oetliker [ctb] (original version of BACON() and mvBACON for S+), Tobias Schoch [ctb] (init.sel="V2" for BACON; fix alpha) Repository: CRAN Date/Publication: 2023-06-16 07:30:02 UTC Built: R 4.6.0; ; 2026-02-05 10:36:23 UTC; unix -- File: /home/hornik/tmp/R.check/r-devel-clang/Work/build/Packages/robustX/Meta/package.rds > (ourBLAS <- grepl(print(normalizePath(R.home())), + normalizePath(extSoftVersion()[["BLAS"]]), fixed = TRUE)) [1] "/home/hornik/tmp/R.check/r-devel-clang/Work/build" [1] TRUE > ## need extended precision (typically *includes* 64-bit): > doCheck <- (.Machine$sizeof.longdouble >= 16) > cat("doCheck (= have long double):", doCheck,"\n") doCheck (= have long double): TRUE > > if(!dev.interactive(orNone=TRUE)) pdf("cov-ex.pdf") > > covNN.1 <- robustX:::covNNC1 ## the original definition (2003) > > data(iris) > system.time(cN1 <- covNN.1(iris[-5])) user system elapsed 0.183 0.020 0.291 > system.time(cN <- covNNC (iris[-5]))# faster indeed user system elapsed 0.097 0.000 0.185 > > ## report.and.stop.if.not.all.equal > report.stopifnot.all.eq <- function(a,b, tol, ...) { + call <- sys.call() + ae <- all.equal(a,b, tol=tol, ...) + call[[1]] <- quote(all.equal) + if(!isTRUE(ae)) + stop(sprintf("Not %s:\n%s\n\n", deparse(call), + paste(ae, collapse="\n")), + call.=FALSE) + ## else + TRUE + } > > UN <- function(L) lapply(L, unname) > > chk.NN.new.old <- function(cNew, cNold, tol = 2e-15, tol.1 = 20*tol) { + stopifnot(is.list(cNold$innc), length(n.i <- names(cNold$innc)) == 4) + cat("classification accordance matrix:\n") + print(table(new = cNew $classification, + old = cNold$classification)) + report.stopifnot.all.eq(UN(cNew [1:4]), + UN(cNold[1:4]), tol=tol.1) & + report.stopifnot.all.eq(cNew $innc[n.i], + cNold$innc[n.i], tol=tol) + } > > summ.NN <- function(cNN, digits = 3) { + cbind(class = cNN$classification, + pprob = round(cNN$postprob, digits), + incc.p= round(cNN$innc$postprob, digits)) + } > > s1 <- summ.NN(cN1) > ss <- summ.NN(cN) > if(isTRUE(all.equal(ss, s1))) ss else cbind(ss, s1) class pprob incc.p class pprob incc.p [1,] 1 1.000 1.000 1 1.000 1.000 [2,] 1 1.000 1.000 1 1.000 1.000 [3,] 1 1.000 1.000 1 1.000 1.000 [4,] 1 1.000 1.000 1 1.000 1.000 [5,] 1 1.000 1.000 1 1.000 1.000 [6,] 1 1.000 0.171 1 1.000 0.171 [7,] 1 1.000 1.000 1 1.000 1.000 [8,] 1 1.000 1.000 1 1.000 1.000 [9,] 1 1.000 1.000 1 1.000 1.000 [10,] 1 1.000 1.000 1 1.000 1.000 [11,] 1 1.000 1.000 1 1.000 1.000 [12,] 1 1.000 1.000 1 1.000 1.000 [13,] 1 1.000 1.000 1 1.000 1.000 [14,] 1 1.000 1.000 1 1.000 1.000 [15,] 1 1.000 0.000 1 0.998 0.000 [16,] 0 0.000 0.000 0 0.000 0.000 [17,] 1 1.000 0.718 1 1.000 0.718 [18,] 1 1.000 1.000 1 1.000 1.000 [19,] 1 1.000 0.002 1 1.000 0.002 [20,] 1 1.000 1.000 1 1.000 1.000 [21,] 1 1.000 1.000 1 1.000 1.000 [22,] 1 1.000 1.000 1 1.000 1.000 [23,] 1 1.000 1.000 1 1.000 1.000 [24,] 1 1.000 1.000 1 1.000 1.000 [25,] 1 1.000 1.000 1 1.000 1.000 [26,] 1 1.000 1.000 1 1.000 1.000 [27,] 1 1.000 1.000 1 1.000 1.000 [28,] 1 1.000 1.000 1 1.000 1.000 [29,] 1 1.000 1.000 1 1.000 1.000 [30,] 1 1.000 1.000 1 1.000 1.000 [31,] 1 1.000 1.000 1 1.000 1.000 [32,] 1 1.000 1.000 1 1.000 1.000 [33,] 1 1.000 0.000 1 1.000 0.000 [34,] 0 0.000 0.000 0 0.000 0.000 [35,] 1 1.000 1.000 1 1.000 1.000 [36,] 1 1.000 1.000 1 1.000 1.000 [37,] 1 1.000 1.000 1 1.000 1.000 [38,] 1 1.000 1.000 1 1.000 1.000 [39,] 1 1.000 1.000 1 1.000 1.000 [40,] 1 1.000 1.000 1 1.000 1.000 [41,] 1 1.000 1.000 1 1.000 1.000 [42,] 0 0.000 0.000 0 0.000 0.000 [43,] 1 1.000 1.000 1 1.000 1.000 [44,] 1 1.000 1.000 1 1.000 1.000 [45,] 1 1.000 1.000 1 1.000 1.000 [46,] 1 1.000 1.000 1 1.000 1.000 [47,] 1 1.000 1.000 1 1.000 1.000 [48,] 1 1.000 1.000 1 1.000 1.000 [49,] 1 1.000 1.000 1 1.000 1.000 [50,] 1 1.000 1.000 1 1.000 1.000 [51,] 1 1.000 0.058 1 1.000 0.058 [52,] 1 1.000 1.000 1 1.000 1.000 [53,] 1 1.000 1.000 1 1.000 1.000 [54,] 1 1.000 0.773 1 1.000 0.773 [55,] 1 1.000 1.000 1 1.000 1.000 [56,] 1 1.000 1.000 1 1.000 1.000 [57,] 1 1.000 0.999 1 1.000 0.999 [58,] 1 1.000 0.000 1 1.000 0.000 [59,] 1 1.000 1.000 1 1.000 1.000 [60,] 1 1.000 1.000 1 1.000 1.000 [61,] 0 0.000 0.000 0 0.000 0.000 [62,] 1 1.000 1.000 1 1.000 1.000 [63,] 1 0.611 0.000 0 0.000 0.000 [64,] 1 1.000 1.000 1 1.000 1.000 [65,] 1 1.000 1.000 1 1.000 1.000 [66,] 1 1.000 1.000 1 1.000 1.000 [67,] 1 1.000 1.000 1 1.000 1.000 [68,] 1 1.000 1.000 1 1.000 1.000 [69,] 1 0.786 0.000 0 0.000 0.000 [70,] 1 1.000 1.000 1 1.000 1.000 [71,] 1 1.000 1.000 1 1.000 1.000 [72,] 1 1.000 1.000 1 1.000 1.000 [73,] 1 1.000 1.000 1 1.000 1.000 [74,] 1 1.000 1.000 1 1.000 1.000 [75,] 1 1.000 1.000 1 1.000 1.000 [76,] 1 1.000 1.000 1 1.000 1.000 [77,] 1 1.000 1.000 1 1.000 1.000 [78,] 1 1.000 1.000 1 1.000 1.000 [79,] 1 1.000 1.000 1 1.000 1.000 [80,] 1 1.000 1.000 1 1.000 1.000 [81,] 1 1.000 1.000 1 1.000 1.000 [82,] 1 1.000 0.999 1 1.000 0.999 [83,] 1 1.000 1.000 1 1.000 1.000 [84,] 1 1.000 1.000 1 1.000 1.000 [85,] 1 1.000 1.000 1 1.000 1.000 [86,] 1 1.000 0.000 1 1.000 0.000 [87,] 1 1.000 1.000 1 1.000 1.000 [88,] 1 1.000 0.000 1 1.000 0.000 [89,] 1 1.000 1.000 1 1.000 1.000 [90,] 1 1.000 1.000 1 1.000 1.000 [91,] 1 1.000 1.000 1 1.000 1.000 [92,] 1 1.000 1.000 1 1.000 1.000 [93,] 1 1.000 1.000 1 1.000 1.000 [94,] 1 0.944 0.000 0 0.001 0.000 [95,] 1 1.000 1.000 1 1.000 1.000 [96,] 1 1.000 1.000 1 1.000 1.000 [97,] 1 1.000 1.000 1 1.000 1.000 [98,] 1 1.000 1.000 1 1.000 1.000 [99,] 1 1.000 0.000 1 1.000 0.000 [100,] 1 1.000 1.000 1 1.000 1.000 [101,] 1 1.000 0.000 1 1.000 0.000 [102,] 1 1.000 1.000 1 1.000 1.000 [103,] 1 1.000 1.000 1 1.000 1.000 [104,] 1 1.000 1.000 1 1.000 1.000 [105,] 1 1.000 1.000 1 1.000 1.000 [106,] 1 1.000 0.000 1 0.998 0.000 [107,] 1 1.000 0.000 0 0.317 0.000 [108,] 1 1.000 0.000 1 1.000 0.000 [109,] 1 1.000 0.000 1 0.999 0.000 [110,] 0 0.000 0.000 0 0.000 0.000 [111,] 1 1.000 1.000 1 1.000 1.000 [112,] 1 1.000 1.000 1 1.000 1.000 [113,] 1 1.000 1.000 1 1.000 1.000 [114,] 1 1.000 0.000 1 1.000 0.000 [115,] 1 1.000 0.899 1 1.000 0.899 [116,] 1 1.000 1.000 1 1.000 1.000 [117,] 1 1.000 1.000 1 1.000 1.000 [118,] 0 0.000 0.000 0 0.000 0.000 [119,] 0 0.000 0.000 0 0.000 0.000 [120,] 0 0.028 0.000 0 0.000 0.000 [121,] 1 1.000 1.000 1 1.000 1.000 [122,] 1 1.000 1.000 1 1.000 1.000 [123,] 0 0.000 0.000 0 0.000 0.000 [124,] 1 1.000 1.000 1 1.000 1.000 [125,] 1 1.000 1.000 1 1.000 1.000 [126,] 1 1.000 0.229 1 1.000 0.229 [127,] 1 1.000 1.000 1 1.000 1.000 [128,] 1 1.000 1.000 1 1.000 1.000 [129,] 1 1.000 1.000 1 1.000 1.000 [130,] 1 1.000 0.702 1 1.000 0.702 [131,] 1 1.000 0.000 0 0.357 0.000 [132,] 0 0.000 0.000 0 0.000 0.000 [133,] 1 1.000 1.000 1 1.000 1.000 [134,] 1 1.000 1.000 1 1.000 1.000 [135,] 1 1.000 0.818 1 1.000 0.818 [136,] 1 1.000 0.000 1 0.999 0.000 [137,] 1 1.000 0.000 1 1.000 0.000 [138,] 1 1.000 1.000 1 1.000 1.000 [139,] 1 1.000 1.000 1 1.000 1.000 [140,] 1 1.000 1.000 1 1.000 1.000 [141,] 1 1.000 1.000 1 1.000 1.000 [142,] 1 1.000 1.000 1 1.000 1.000 [143,] 1 1.000 1.000 1 1.000 1.000 [144,] 1 1.000 1.000 1 1.000 1.000 [145,] 1 1.000 1.000 1 1.000 1.000 [146,] 1 1.000 1.000 1 1.000 1.000 [147,] 1 1.000 0.991 1 1.000 0.991 [148,] 1 1.000 1.000 1 1.000 1.000 [149,] 1 1.000 0.000 1 1.000 0.000 [150,] 1 1.000 1.000 1 1.000 1.000 > > > try( # testing (tol=0 too small) + chk.NN.new.old(cN, cN1, tol=0) + ) classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error : Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 > ## This used to fail when we use R's instead of BLAS matrix products: > if(doCheck) + chk.NN.new.old(cN, cN1, tol = 4e-15) # seen 1.1e-15 work classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error: Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.2-7
Check: tests
Result: ERROR Running ‘L1med-tst.R’ [1s/1s] Running ‘cov-ex.R’ [1s/1s] Running the tests in ‘tests/cov-ex.R’ failed. Complete output: > library(robustX) > library(robustbase) > (newRB <- (packageVersion("robustbase") >= "0.99")) [1] TRUE > > sessionInfo() R Under development (unstable) (2026-02-04 r89376) Platform: x86_64-pc-linux-gnu Running under: Debian GNU/Linux forky/sid Matrix products: default BLAS: /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libRblas.so LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.1; LAPACK version 3.12.0 locale: [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8 [4] LC_COLLATE=C LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8 [7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C [10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C time zone: Europe/Vienna tzcode source: system (glibc) attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] robustbase_0.99-7 robustX_1.2-7 loaded via a namespace (and not attached): [1] DEoptimR_1.1-4 compiler_4.6.0 > packageDescription("robustX") Package: robustX Type: Package Title: 'eXtra' / 'eXperimental' Functionality for Robust Statistics Version: 1.2-7 Date: 2023-06-14 Authors@R: c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910")) , person("Werner A.", "Stahel", role="aut", email="stahel@stat.math.ethz.ch") , person("Rolf", "Turner", role="ctb", email="r.turner@auckland.ac.nz", comment = "reclas()") , person("Ueli", "Oetliker", role="ctb", comment = "original version of BACON() and mvBACON for S+") , person("Tobias", "Schoch", role="ctb", comment = "init.sel=\"V2\" for BACON; fix alpha") ) Maintainer: Martin Maechler <maechler@stat.math.ethz.ch> Description: Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. Hence methods which are not well established, often related to methods in package 'robustbase'. Amazingly, 'BACON()', originally by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2> has become established in places. The "barrow wheel" `rbwheel()` is from Stahel and Mächler (2009) <doi:10.1111/j.1467-9868.2009.00706.x>. Imports: grDevices, graphics, stats, utils, robustbase (>= 0.92-3) Suggests: MASS, lattice, pcaPP Enhances: ICS License: GPL (>= 2) Encoding: UTF-8 NeedsCompilation: no Packaged: 2023-06-14 21:41:58 UTC; maechler Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner A. Stahel [aut], Rolf Turner [ctb] (reclas()), Ueli Oetliker [ctb] (original version of BACON() and mvBACON for S+), Tobias Schoch [ctb] (init.sel="V2" for BACON; fix alpha) Repository: CRAN Date/Publication: 2023-06-16 07:30:02 UTC Built: R 4.6.0; ; 2026-02-05 09:56:53 UTC; unix -- File: /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/robustX/Meta/package.rds > (ourBLAS <- grepl(print(normalizePath(R.home())), + normalizePath(extSoftVersion()[["BLAS"]]), fixed = TRUE)) [1] "/home/hornik/tmp/R.check/r-devel-gcc/Work/build" [1] TRUE > ## need extended precision (typically *includes* 64-bit): > doCheck <- (.Machine$sizeof.longdouble >= 16) > cat("doCheck (= have long double):", doCheck,"\n") doCheck (= have long double): TRUE > > if(!dev.interactive(orNone=TRUE)) pdf("cov-ex.pdf") > > covNN.1 <- robustX:::covNNC1 ## the original definition (2003) > > data(iris) > system.time(cN1 <- covNN.1(iris[-5])) user system elapsed 0.109 0.008 0.183 > system.time(cN <- covNNC (iris[-5]))# faster indeed user system elapsed 0.051 0.000 0.109 > > ## report.and.stop.if.not.all.equal > report.stopifnot.all.eq <- function(a,b, tol, ...) { + call <- sys.call() + ae <- all.equal(a,b, tol=tol, ...) + call[[1]] <- quote(all.equal) + if(!isTRUE(ae)) + stop(sprintf("Not %s:\n%s\n\n", deparse(call), + paste(ae, collapse="\n")), + call.=FALSE) + ## else + TRUE + } > > UN <- function(L) lapply(L, unname) > > chk.NN.new.old <- function(cNew, cNold, tol = 2e-15, tol.1 = 20*tol) { + stopifnot(is.list(cNold$innc), length(n.i <- names(cNold$innc)) == 4) + cat("classification accordance matrix:\n") + print(table(new = cNew $classification, + old = cNold$classification)) + report.stopifnot.all.eq(UN(cNew [1:4]), + UN(cNold[1:4]), tol=tol.1) & + report.stopifnot.all.eq(cNew $innc[n.i], + cNold$innc[n.i], tol=tol) + } > > summ.NN <- function(cNN, digits = 3) { + cbind(class = cNN$classification, + pprob = round(cNN$postprob, digits), + incc.p= round(cNN$innc$postprob, digits)) + } > > s1 <- summ.NN(cN1) > ss <- summ.NN(cN) > if(isTRUE(all.equal(ss, s1))) ss else cbind(ss, s1) class pprob incc.p class pprob incc.p [1,] 1 1.000 1.000 1 1.000 1.000 [2,] 1 1.000 1.000 1 1.000 1.000 [3,] 1 1.000 1.000 1 1.000 1.000 [4,] 1 1.000 1.000 1 1.000 1.000 [5,] 1 1.000 1.000 1 1.000 1.000 [6,] 1 1.000 0.171 1 1.000 0.171 [7,] 1 1.000 1.000 1 1.000 1.000 [8,] 1 1.000 1.000 1 1.000 1.000 [9,] 1 1.000 1.000 1 1.000 1.000 [10,] 1 1.000 1.000 1 1.000 1.000 [11,] 1 1.000 1.000 1 1.000 1.000 [12,] 1 1.000 1.000 1 1.000 1.000 [13,] 1 1.000 1.000 1 1.000 1.000 [14,] 1 1.000 1.000 1 1.000 1.000 [15,] 1 1.000 0.000 1 0.998 0.000 [16,] 0 0.000 0.000 0 0.000 0.000 [17,] 1 1.000 0.718 1 1.000 0.718 [18,] 1 1.000 1.000 1 1.000 1.000 [19,] 1 1.000 0.002 1 1.000 0.002 [20,] 1 1.000 1.000 1 1.000 1.000 [21,] 1 1.000 1.000 1 1.000 1.000 [22,] 1 1.000 1.000 1 1.000 1.000 [23,] 1 1.000 1.000 1 1.000 1.000 [24,] 1 1.000 1.000 1 1.000 1.000 [25,] 1 1.000 1.000 1 1.000 1.000 [26,] 1 1.000 1.000 1 1.000 1.000 [27,] 1 1.000 1.000 1 1.000 1.000 [28,] 1 1.000 1.000 1 1.000 1.000 [29,] 1 1.000 1.000 1 1.000 1.000 [30,] 1 1.000 1.000 1 1.000 1.000 [31,] 1 1.000 1.000 1 1.000 1.000 [32,] 1 1.000 1.000 1 1.000 1.000 [33,] 1 1.000 0.000 1 1.000 0.000 [34,] 0 0.000 0.000 0 0.000 0.000 [35,] 1 1.000 1.000 1 1.000 1.000 [36,] 1 1.000 1.000 1 1.000 1.000 [37,] 1 1.000 1.000 1 1.000 1.000 [38,] 1 1.000 1.000 1 1.000 1.000 [39,] 1 1.000 1.000 1 1.000 1.000 [40,] 1 1.000 1.000 1 1.000 1.000 [41,] 1 1.000 1.000 1 1.000 1.000 [42,] 0 0.000 0.000 0 0.000 0.000 [43,] 1 1.000 1.000 1 1.000 1.000 [44,] 1 1.000 1.000 1 1.000 1.000 [45,] 1 1.000 1.000 1 1.000 1.000 [46,] 1 1.000 1.000 1 1.000 1.000 [47,] 1 1.000 1.000 1 1.000 1.000 [48,] 1 1.000 1.000 1 1.000 1.000 [49,] 1 1.000 1.000 1 1.000 1.000 [50,] 1 1.000 1.000 1 1.000 1.000 [51,] 1 1.000 0.058 1 1.000 0.058 [52,] 1 1.000 1.000 1 1.000 1.000 [53,] 1 1.000 1.000 1 1.000 1.000 [54,] 1 1.000 0.773 1 1.000 0.773 [55,] 1 1.000 1.000 1 1.000 1.000 [56,] 1 1.000 1.000 1 1.000 1.000 [57,] 1 1.000 0.999 1 1.000 0.999 [58,] 1 1.000 0.000 1 1.000 0.000 [59,] 1 1.000 1.000 1 1.000 1.000 [60,] 1 1.000 1.000 1 1.000 1.000 [61,] 0 0.000 0.000 0 0.000 0.000 [62,] 1 1.000 1.000 1 1.000 1.000 [63,] 1 0.611 0.000 0 0.000 0.000 [64,] 1 1.000 1.000 1 1.000 1.000 [65,] 1 1.000 1.000 1 1.000 1.000 [66,] 1 1.000 1.000 1 1.000 1.000 [67,] 1 1.000 1.000 1 1.000 1.000 [68,] 1 1.000 1.000 1 1.000 1.000 [69,] 1 0.786 0.000 0 0.000 0.000 [70,] 1 1.000 1.000 1 1.000 1.000 [71,] 1 1.000 1.000 1 1.000 1.000 [72,] 1 1.000 1.000 1 1.000 1.000 [73,] 1 1.000 1.000 1 1.000 1.000 [74,] 1 1.000 1.000 1 1.000 1.000 [75,] 1 1.000 1.000 1 1.000 1.000 [76,] 1 1.000 1.000 1 1.000 1.000 [77,] 1 1.000 1.000 1 1.000 1.000 [78,] 1 1.000 1.000 1 1.000 1.000 [79,] 1 1.000 1.000 1 1.000 1.000 [80,] 1 1.000 1.000 1 1.000 1.000 [81,] 1 1.000 1.000 1 1.000 1.000 [82,] 1 1.000 0.999 1 1.000 0.999 [83,] 1 1.000 1.000 1 1.000 1.000 [84,] 1 1.000 1.000 1 1.000 1.000 [85,] 1 1.000 1.000 1 1.000 1.000 [86,] 1 1.000 0.000 1 1.000 0.000 [87,] 1 1.000 1.000 1 1.000 1.000 [88,] 1 1.000 0.000 1 1.000 0.000 [89,] 1 1.000 1.000 1 1.000 1.000 [90,] 1 1.000 1.000 1 1.000 1.000 [91,] 1 1.000 1.000 1 1.000 1.000 [92,] 1 1.000 1.000 1 1.000 1.000 [93,] 1 1.000 1.000 1 1.000 1.000 [94,] 1 0.944 0.000 0 0.001 0.000 [95,] 1 1.000 1.000 1 1.000 1.000 [96,] 1 1.000 1.000 1 1.000 1.000 [97,] 1 1.000 1.000 1 1.000 1.000 [98,] 1 1.000 1.000 1 1.000 1.000 [99,] 1 1.000 0.000 1 1.000 0.000 [100,] 1 1.000 1.000 1 1.000 1.000 [101,] 1 1.000 0.000 1 1.000 0.000 [102,] 1 1.000 1.000 1 1.000 1.000 [103,] 1 1.000 1.000 1 1.000 1.000 [104,] 1 1.000 1.000 1 1.000 1.000 [105,] 1 1.000 1.000 1 1.000 1.000 [106,] 1 1.000 0.000 1 0.998 0.000 [107,] 1 1.000 0.000 0 0.317 0.000 [108,] 1 1.000 0.000 1 1.000 0.000 [109,] 1 1.000 0.000 1 0.999 0.000 [110,] 0 0.000 0.000 0 0.000 0.000 [111,] 1 1.000 1.000 1 1.000 1.000 [112,] 1 1.000 1.000 1 1.000 1.000 [113,] 1 1.000 1.000 1 1.000 1.000 [114,] 1 1.000 0.000 1 1.000 0.000 [115,] 1 1.000 0.899 1 1.000 0.899 [116,] 1 1.000 1.000 1 1.000 1.000 [117,] 1 1.000 1.000 1 1.000 1.000 [118,] 0 0.000 0.000 0 0.000 0.000 [119,] 0 0.000 0.000 0 0.000 0.000 [120,] 0 0.028 0.000 0 0.000 0.000 [121,] 1 1.000 1.000 1 1.000 1.000 [122,] 1 1.000 1.000 1 1.000 1.000 [123,] 0 0.000 0.000 0 0.000 0.000 [124,] 1 1.000 1.000 1 1.000 1.000 [125,] 1 1.000 1.000 1 1.000 1.000 [126,] 1 1.000 0.229 1 1.000 0.229 [127,] 1 1.000 1.000 1 1.000 1.000 [128,] 1 1.000 1.000 1 1.000 1.000 [129,] 1 1.000 1.000 1 1.000 1.000 [130,] 1 1.000 0.702 1 1.000 0.702 [131,] 1 1.000 0.000 0 0.357 0.000 [132,] 0 0.000 0.000 0 0.000 0.000 [133,] 1 1.000 1.000 1 1.000 1.000 [134,] 1 1.000 1.000 1 1.000 1.000 [135,] 1 1.000 0.818 1 1.000 0.818 [136,] 1 1.000 0.000 1 0.999 0.000 [137,] 1 1.000 0.000 1 1.000 0.000 [138,] 1 1.000 1.000 1 1.000 1.000 [139,] 1 1.000 1.000 1 1.000 1.000 [140,] 1 1.000 1.000 1 1.000 1.000 [141,] 1 1.000 1.000 1 1.000 1.000 [142,] 1 1.000 1.000 1 1.000 1.000 [143,] 1 1.000 1.000 1 1.000 1.000 [144,] 1 1.000 1.000 1 1.000 1.000 [145,] 1 1.000 1.000 1 1.000 1.000 [146,] 1 1.000 1.000 1 1.000 1.000 [147,] 1 1.000 0.991 1 1.000 0.991 [148,] 1 1.000 1.000 1 1.000 1.000 [149,] 1 1.000 0.000 1 1.000 0.000 [150,] 1 1.000 1.000 1 1.000 1.000 > > > try( # testing (tol=0 too small) + chk.NN.new.old(cN, cN1, tol=0) + ) classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error : Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 > ## This used to fail when we use R's instead of BLAS matrix products: > if(doCheck) + chk.NN.new.old(cN, cN1, tol = 4e-15) # seen 1.1e-15 work classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error: Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.2-7
Check: tests
Result: ERROR Running ‘L1med-tst.R’ Running ‘cov-ex.R’ Running the tests in ‘tests/cov-ex.R’ failed. Complete output: > library(robustX) > library(robustbase) > (newRB <- (packageVersion("robustbase") >= "0.99")) [1] TRUE > > sessionInfo() R Under development (unstable) (2026-02-04 r89376) Platform: x86_64-pc-linux-gnu Running under: Fedora Linux 42 (Workstation Edition) Matrix products: default BLAS: /data/gannet/ripley/R/R-clang/lib/libRblas.so LAPACK: /data/gannet/ripley/R/R-clang/lib/libRlapack.so; LAPACK version 3.12.1 locale: [1] LC_CTYPE=en_GB.utf8 LC_NUMERIC=C [3] LC_TIME=en_GB.UTF-8 LC_COLLATE=C [5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8 [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C time zone: Europe/London tzcode source: system (glibc) attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] robustbase_0.99-7 robustX_1.2-7 loaded via a namespace (and not attached): [1] DEoptimR_1.1-4 compiler_4.6.0 > packageDescription("robustX") Package: robustX Type: Package Title: 'eXtra' / 'eXperimental' Functionality for Robust Statistics Version: 1.2-7 Date: 2023-06-14 Authors@R: c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910")) , person("Werner A.", "Stahel", role="aut", email="stahel@stat.math.ethz.ch") , person("Rolf", "Turner", role="ctb", email="r.turner@auckland.ac.nz", comment = "reclas()") , person("Ueli", "Oetliker", role="ctb", comment = "original version of BACON() and mvBACON for S+") , person("Tobias", "Schoch", role="ctb", comment = "init.sel=\"V2\" for BACON; fix alpha") ) Maintainer: Martin Maechler <maechler@stat.math.ethz.ch> Description: Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. Hence methods which are not well established, often related to methods in package 'robustbase'. Amazingly, 'BACON()', originally by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2> has become established in places. The "barrow wheel" `rbwheel()` is from Stahel and Mächler (2009) <doi:10.1111/j.1467-9868.2009.00706.x>. Imports: grDevices, graphics, stats, utils, robustbase (>= 0.92-3) Suggests: MASS, lattice, pcaPP Enhances: ICS License: GPL (>= 2) Encoding: UTF-8 NeedsCompilation: no Packaged: 2023-06-14 21:41:58 UTC; maechler Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner A. Stahel [aut], Rolf Turner [ctb] (reclas()), Ueli Oetliker [ctb] (original version of BACON() and mvBACON for S+), Tobias Schoch [ctb] (init.sel="V2" for BACON; fix alpha) Repository: CRAN Date/Publication: 2023-06-16 07:30:02 UTC Built: R 4.6.0; ; 2026-02-05 19:29:48 UTC; unix -- File: /data/gannet/ripley/R/packages/tests-clang/robustX.Rcheck/robustX/Meta/package.rds > (ourBLAS <- grepl(print(normalizePath(R.home())), + normalizePath(extSoftVersion()[["BLAS"]]), fixed = TRUE)) [1] "/data/gannet/ripley/R/R-clang" [1] TRUE > ## need extended precision (typically *includes* 64-bit): > doCheck <- (.Machine$sizeof.longdouble >= 16) > cat("doCheck (= have long double):", doCheck,"\n") doCheck (= have long double): TRUE > > if(!dev.interactive(orNone=TRUE)) pdf("cov-ex.pdf") > > covNN.1 <- robustX:::covNNC1 ## the original definition (2003) > > data(iris) > system.time(cN1 <- covNN.1(iris[-5])) user system elapsed 0.342 0.099 1.223 > system.time(cN <- covNNC (iris[-5]))# faster indeed user system elapsed 0.181 0.002 2.148 > > ## report.and.stop.if.not.all.equal > report.stopifnot.all.eq <- function(a,b, tol, ...) { + call <- sys.call() + ae <- all.equal(a,b, tol=tol, ...) + call[[1]] <- quote(all.equal) + if(!isTRUE(ae)) + stop(sprintf("Not %s:\n%s\n\n", deparse(call), + paste(ae, collapse="\n")), + call.=FALSE) + ## else + TRUE + } > > UN <- function(L) lapply(L, unname) > > chk.NN.new.old <- function(cNew, cNold, tol = 2e-15, tol.1 = 20*tol) { + stopifnot(is.list(cNold$innc), length(n.i <- names(cNold$innc)) == 4) + cat("classification accordance matrix:\n") + print(table(new = cNew $classification, + old = cNold$classification)) + report.stopifnot.all.eq(UN(cNew [1:4]), + UN(cNold[1:4]), tol=tol.1) & + report.stopifnot.all.eq(cNew $innc[n.i], + cNold$innc[n.i], tol=tol) + } > > summ.NN <- function(cNN, digits = 3) { + cbind(class = cNN$classification, + pprob = round(cNN$postprob, digits), + incc.p= round(cNN$innc$postprob, digits)) + } > > s1 <- summ.NN(cN1) > ss <- summ.NN(cN) > if(isTRUE(all.equal(ss, s1))) ss else cbind(ss, s1) class pprob incc.p class pprob incc.p [1,] 1 1.000 1.000 1 1.000 1.000 [2,] 1 1.000 1.000 1 1.000 1.000 [3,] 1 1.000 1.000 1 1.000 1.000 [4,] 1 1.000 1.000 1 1.000 1.000 [5,] 1 1.000 1.000 1 1.000 1.000 [6,] 1 1.000 0.171 1 1.000 0.171 [7,] 1 1.000 1.000 1 1.000 1.000 [8,] 1 1.000 1.000 1 1.000 1.000 [9,] 1 1.000 1.000 1 1.000 1.000 [10,] 1 1.000 1.000 1 1.000 1.000 [11,] 1 1.000 1.000 1 1.000 1.000 [12,] 1 1.000 1.000 1 1.000 1.000 [13,] 1 1.000 1.000 1 1.000 1.000 [14,] 1 1.000 1.000 1 1.000 1.000 [15,] 1 1.000 0.000 1 0.998 0.000 [16,] 0 0.000 0.000 0 0.000 0.000 [17,] 1 1.000 0.718 1 1.000 0.718 [18,] 1 1.000 1.000 1 1.000 1.000 [19,] 1 1.000 0.002 1 1.000 0.002 [20,] 1 1.000 1.000 1 1.000 1.000 [21,] 1 1.000 1.000 1 1.000 1.000 [22,] 1 1.000 1.000 1 1.000 1.000 [23,] 1 1.000 1.000 1 1.000 1.000 [24,] 1 1.000 1.000 1 1.000 1.000 [25,] 1 1.000 1.000 1 1.000 1.000 [26,] 1 1.000 1.000 1 1.000 1.000 [27,] 1 1.000 1.000 1 1.000 1.000 [28,] 1 1.000 1.000 1 1.000 1.000 [29,] 1 1.000 1.000 1 1.000 1.000 [30,] 1 1.000 1.000 1 1.000 1.000 [31,] 1 1.000 1.000 1 1.000 1.000 [32,] 1 1.000 1.000 1 1.000 1.000 [33,] 1 1.000 0.000 1 1.000 0.000 [34,] 0 0.000 0.000 0 0.000 0.000 [35,] 1 1.000 1.000 1 1.000 1.000 [36,] 1 1.000 1.000 1 1.000 1.000 [37,] 1 1.000 1.000 1 1.000 1.000 [38,] 1 1.000 1.000 1 1.000 1.000 [39,] 1 1.000 1.000 1 1.000 1.000 [40,] 1 1.000 1.000 1 1.000 1.000 [41,] 1 1.000 1.000 1 1.000 1.000 [42,] 0 0.000 0.000 0 0.000 0.000 [43,] 1 1.000 1.000 1 1.000 1.000 [44,] 1 1.000 1.000 1 1.000 1.000 [45,] 1 1.000 1.000 1 1.000 1.000 [46,] 1 1.000 1.000 1 1.000 1.000 [47,] 1 1.000 1.000 1 1.000 1.000 [48,] 1 1.000 1.000 1 1.000 1.000 [49,] 1 1.000 1.000 1 1.000 1.000 [50,] 1 1.000 1.000 1 1.000 1.000 [51,] 1 1.000 0.058 1 1.000 0.058 [52,] 1 1.000 1.000 1 1.000 1.000 [53,] 1 1.000 1.000 1 1.000 1.000 [54,] 1 1.000 0.773 1 1.000 0.773 [55,] 1 1.000 1.000 1 1.000 1.000 [56,] 1 1.000 1.000 1 1.000 1.000 [57,] 1 1.000 0.999 1 1.000 0.999 [58,] 1 1.000 0.000 1 1.000 0.000 [59,] 1 1.000 1.000 1 1.000 1.000 [60,] 1 1.000 1.000 1 1.000 1.000 [61,] 0 0.000 0.000 0 0.000 0.000 [62,] 1 1.000 1.000 1 1.000 1.000 [63,] 1 0.611 0.000 0 0.000 0.000 [64,] 1 1.000 1.000 1 1.000 1.000 [65,] 1 1.000 1.000 1 1.000 1.000 [66,] 1 1.000 1.000 1 1.000 1.000 [67,] 1 1.000 1.000 1 1.000 1.000 [68,] 1 1.000 1.000 1 1.000 1.000 [69,] 1 0.786 0.000 0 0.000 0.000 [70,] 1 1.000 1.000 1 1.000 1.000 [71,] 1 1.000 1.000 1 1.000 1.000 [72,] 1 1.000 1.000 1 1.000 1.000 [73,] 1 1.000 1.000 1 1.000 1.000 [74,] 1 1.000 1.000 1 1.000 1.000 [75,] 1 1.000 1.000 1 1.000 1.000 [76,] 1 1.000 1.000 1 1.000 1.000 [77,] 1 1.000 1.000 1 1.000 1.000 [78,] 1 1.000 1.000 1 1.000 1.000 [79,] 1 1.000 1.000 1 1.000 1.000 [80,] 1 1.000 1.000 1 1.000 1.000 [81,] 1 1.000 1.000 1 1.000 1.000 [82,] 1 1.000 0.999 1 1.000 0.999 [83,] 1 1.000 1.000 1 1.000 1.000 [84,] 1 1.000 1.000 1 1.000 1.000 [85,] 1 1.000 1.000 1 1.000 1.000 [86,] 1 1.000 0.000 1 1.000 0.000 [87,] 1 1.000 1.000 1 1.000 1.000 [88,] 1 1.000 0.000 1 1.000 0.000 [89,] 1 1.000 1.000 1 1.000 1.000 [90,] 1 1.000 1.000 1 1.000 1.000 [91,] 1 1.000 1.000 1 1.000 1.000 [92,] 1 1.000 1.000 1 1.000 1.000 [93,] 1 1.000 1.000 1 1.000 1.000 [94,] 1 0.944 0.000 0 0.001 0.000 [95,] 1 1.000 1.000 1 1.000 1.000 [96,] 1 1.000 1.000 1 1.000 1.000 [97,] 1 1.000 1.000 1 1.000 1.000 [98,] 1 1.000 1.000 1 1.000 1.000 [99,] 1 1.000 0.000 1 1.000 0.000 [100,] 1 1.000 1.000 1 1.000 1.000 [101,] 1 1.000 0.000 1 1.000 0.000 [102,] 1 1.000 1.000 1 1.000 1.000 [103,] 1 1.000 1.000 1 1.000 1.000 [104,] 1 1.000 1.000 1 1.000 1.000 [105,] 1 1.000 1.000 1 1.000 1.000 [106,] 1 1.000 0.000 1 0.998 0.000 [107,] 1 1.000 0.000 0 0.317 0.000 [108,] 1 1.000 0.000 1 1.000 0.000 [109,] 1 1.000 0.000 1 0.999 0.000 [110,] 0 0.000 0.000 0 0.000 0.000 [111,] 1 1.000 1.000 1 1.000 1.000 [112,] 1 1.000 1.000 1 1.000 1.000 [113,] 1 1.000 1.000 1 1.000 1.000 [114,] 1 1.000 0.000 1 1.000 0.000 [115,] 1 1.000 0.899 1 1.000 0.899 [116,] 1 1.000 1.000 1 1.000 1.000 [117,] 1 1.000 1.000 1 1.000 1.000 [118,] 0 0.000 0.000 0 0.000 0.000 [119,] 0 0.000 0.000 0 0.000 0.000 [120,] 0 0.028 0.000 0 0.000 0.000 [121,] 1 1.000 1.000 1 1.000 1.000 [122,] 1 1.000 1.000 1 1.000 1.000 [123,] 0 0.000 0.000 0 0.000 0.000 [124,] 1 1.000 1.000 1 1.000 1.000 [125,] 1 1.000 1.000 1 1.000 1.000 [126,] 1 1.000 0.229 1 1.000 0.229 [127,] 1 1.000 1.000 1 1.000 1.000 [128,] 1 1.000 1.000 1 1.000 1.000 [129,] 1 1.000 1.000 1 1.000 1.000 [130,] 1 1.000 0.702 1 1.000 0.702 [131,] 1 1.000 0.000 0 0.357 0.000 [132,] 0 0.000 0.000 0 0.000 0.000 [133,] 1 1.000 1.000 1 1.000 1.000 [134,] 1 1.000 1.000 1 1.000 1.000 [135,] 1 1.000 0.818 1 1.000 0.818 [136,] 1 1.000 0.000 1 0.999 0.000 [137,] 1 1.000 0.000 1 1.000 0.000 [138,] 1 1.000 1.000 1 1.000 1.000 [139,] 1 1.000 1.000 1 1.000 1.000 [140,] 1 1.000 1.000 1 1.000 1.000 [141,] 1 1.000 1.000 1 1.000 1.000 [142,] 1 1.000 1.000 1 1.000 1.000 [143,] 1 1.000 1.000 1 1.000 1.000 [144,] 1 1.000 1.000 1 1.000 1.000 [145,] 1 1.000 1.000 1 1.000 1.000 [146,] 1 1.000 1.000 1 1.000 1.000 [147,] 1 1.000 0.991 1 1.000 0.991 [148,] 1 1.000 1.000 1 1.000 1.000 [149,] 1 1.000 0.000 1 1.000 0.000 [150,] 1 1.000 1.000 1 1.000 1.000 > > > try( # testing (tol=0 too small) + chk.NN.new.old(cN, cN1, tol=0) + ) classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error : Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 > ## This used to fail when we use R's instead of BLAS matrix products: > if(doCheck) + chk.NN.new.old(cN, cN1, tol = 4e-15) # seen 1.1e-15 work classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error: Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.2-7
Check: tests
Result: ERROR Running ‘L1med-tst.R’ Running ‘cov-ex.R’ Running the tests in ‘tests/cov-ex.R’ failed. Complete output: > library(robustX) > library(robustbase) > (newRB <- (packageVersion("robustbase") >= "0.99")) [1] TRUE > > sessionInfo() R Under development (unstable) (2026-02-04 r89376) Platform: x86_64-pc-linux-gnu Running under: Fedora Linux 42 (Workstation Edition) Matrix products: default BLAS: /data/gannet/ripley/R/R-devel/lib/libRblas.so LAPACK: /usr/lib64/liblapack.so.3.12.0 LAPACK version 3.12.0 locale: [1] LC_CTYPE=en_GB.utf8 LC_NUMERIC=C [3] LC_TIME=en_GB.UTF-8 LC_COLLATE=C [5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8 [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C time zone: Europe/London tzcode source: system (glibc) attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] robustbase_0.99-7 robustX_1.2-7 loaded via a namespace (and not attached): [1] DEoptimR_1.1-4 compiler_4.6.0 > packageDescription("robustX") Package: robustX Type: Package Title: 'eXtra' / 'eXperimental' Functionality for Robust Statistics Version: 1.2-7 Date: 2023-06-14 Authors@R: c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910")) , person("Werner A.", "Stahel", role="aut", email="stahel@stat.math.ethz.ch") , person("Rolf", "Turner", role="ctb", email="r.turner@auckland.ac.nz", comment = "reclas()") , person("Ueli", "Oetliker", role="ctb", comment = "original version of BACON() and mvBACON for S+") , person("Tobias", "Schoch", role="ctb", comment = "init.sel=\"V2\" for BACON; fix alpha") ) Maintainer: Martin Maechler <maechler@stat.math.ethz.ch> Description: Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. Hence methods which are not well established, often related to methods in package 'robustbase'. Amazingly, 'BACON()', originally by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2> has become established in places. The "barrow wheel" `rbwheel()` is from Stahel and Mächler (2009) <doi:10.1111/j.1467-9868.2009.00706.x>. Imports: grDevices, graphics, stats, utils, robustbase (>= 0.92-3) Suggests: MASS, lattice, pcaPP Enhances: ICS License: GPL (>= 2) Encoding: UTF-8 NeedsCompilation: no Packaged: 2023-06-14 21:41:58 UTC; maechler Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner A. Stahel [aut], Rolf Turner [ctb] (reclas()), Ueli Oetliker [ctb] (original version of BACON() and mvBACON for S+), Tobias Schoch [ctb] (init.sel="V2" for BACON; fix alpha) Repository: CRAN Date/Publication: 2023-06-16 07:30:02 UTC Built: R 4.6.0; ; 2026-02-05 10:09:59 UTC; unix -- File: /data/gannet/ripley/R/packages/tests-devel/robustX.Rcheck/robustX/Meta/package.rds > (ourBLAS <- grepl(print(normalizePath(R.home())), + normalizePath(extSoftVersion()[["BLAS"]]), fixed = TRUE)) [1] "/data/gannet/ripley/R/R-devel" [1] TRUE > ## need extended precision (typically *includes* 64-bit): > doCheck <- (.Machine$sizeof.longdouble >= 16) > cat("doCheck (= have long double):", doCheck,"\n") doCheck (= have long double): TRUE > > if(!dev.interactive(orNone=TRUE)) pdf("cov-ex.pdf") > > covNN.1 <- robustX:::covNNC1 ## the original definition (2003) > > data(iris) > system.time(cN1 <- covNN.1(iris[-5])) user system elapsed 0.363 0.111 1.149 > system.time(cN <- covNNC (iris[-5]))# faster indeed user system elapsed 0.167 0.000 0.371 > > ## report.and.stop.if.not.all.equal > report.stopifnot.all.eq <- function(a,b, tol, ...) { + call <- sys.call() + ae <- all.equal(a,b, tol=tol, ...) + call[[1]] <- quote(all.equal) + if(!isTRUE(ae)) + stop(sprintf("Not %s:\n%s\n\n", deparse(call), + paste(ae, collapse="\n")), + call.=FALSE) + ## else + TRUE + } > > UN <- function(L) lapply(L, unname) > > chk.NN.new.old <- function(cNew, cNold, tol = 2e-15, tol.1 = 20*tol) { + stopifnot(is.list(cNold$innc), length(n.i <- names(cNold$innc)) == 4) + cat("classification accordance matrix:\n") + print(table(new = cNew $classification, + old = cNold$classification)) + report.stopifnot.all.eq(UN(cNew [1:4]), + UN(cNold[1:4]), tol=tol.1) & + report.stopifnot.all.eq(cNew $innc[n.i], + cNold$innc[n.i], tol=tol) + } > > summ.NN <- function(cNN, digits = 3) { + cbind(class = cNN$classification, + pprob = round(cNN$postprob, digits), + incc.p= round(cNN$innc$postprob, digits)) + } > > s1 <- summ.NN(cN1) > ss <- summ.NN(cN) > if(isTRUE(all.equal(ss, s1))) ss else cbind(ss, s1) class pprob incc.p class pprob incc.p [1,] 1 1.000 1.000 1 1.000 1.000 [2,] 1 1.000 1.000 1 1.000 1.000 [3,] 1 1.000 1.000 1 1.000 1.000 [4,] 1 1.000 1.000 1 1.000 1.000 [5,] 1 1.000 1.000 1 1.000 1.000 [6,] 1 1.000 0.171 1 1.000 0.171 [7,] 1 1.000 1.000 1 1.000 1.000 [8,] 1 1.000 1.000 1 1.000 1.000 [9,] 1 1.000 1.000 1 1.000 1.000 [10,] 1 1.000 1.000 1 1.000 1.000 [11,] 1 1.000 1.000 1 1.000 1.000 [12,] 1 1.000 1.000 1 1.000 1.000 [13,] 1 1.000 1.000 1 1.000 1.000 [14,] 1 1.000 1.000 1 1.000 1.000 [15,] 1 1.000 0.000 1 0.998 0.000 [16,] 0 0.000 0.000 0 0.000 0.000 [17,] 1 1.000 0.718 1 1.000 0.718 [18,] 1 1.000 1.000 1 1.000 1.000 [19,] 1 1.000 0.002 1 1.000 0.002 [20,] 1 1.000 1.000 1 1.000 1.000 [21,] 1 1.000 1.000 1 1.000 1.000 [22,] 1 1.000 1.000 1 1.000 1.000 [23,] 1 1.000 1.000 1 1.000 1.000 [24,] 1 1.000 1.000 1 1.000 1.000 [25,] 1 1.000 1.000 1 1.000 1.000 [26,] 1 1.000 1.000 1 1.000 1.000 [27,] 1 1.000 1.000 1 1.000 1.000 [28,] 1 1.000 1.000 1 1.000 1.000 [29,] 1 1.000 1.000 1 1.000 1.000 [30,] 1 1.000 1.000 1 1.000 1.000 [31,] 1 1.000 1.000 1 1.000 1.000 [32,] 1 1.000 1.000 1 1.000 1.000 [33,] 1 1.000 0.000 1 1.000 0.000 [34,] 0 0.000 0.000 0 0.000 0.000 [35,] 1 1.000 1.000 1 1.000 1.000 [36,] 1 1.000 1.000 1 1.000 1.000 [37,] 1 1.000 1.000 1 1.000 1.000 [38,] 1 1.000 1.000 1 1.000 1.000 [39,] 1 1.000 1.000 1 1.000 1.000 [40,] 1 1.000 1.000 1 1.000 1.000 [41,] 1 1.000 1.000 1 1.000 1.000 [42,] 0 0.000 0.000 0 0.000 0.000 [43,] 1 1.000 1.000 1 1.000 1.000 [44,] 1 1.000 1.000 1 1.000 1.000 [45,] 1 1.000 1.000 1 1.000 1.000 [46,] 1 1.000 1.000 1 1.000 1.000 [47,] 1 1.000 1.000 1 1.000 1.000 [48,] 1 1.000 1.000 1 1.000 1.000 [49,] 1 1.000 1.000 1 1.000 1.000 [50,] 1 1.000 1.000 1 1.000 1.000 [51,] 1 1.000 0.058 1 1.000 0.058 [52,] 1 1.000 1.000 1 1.000 1.000 [53,] 1 1.000 1.000 1 1.000 1.000 [54,] 1 1.000 0.773 1 1.000 0.773 [55,] 1 1.000 1.000 1 1.000 1.000 [56,] 1 1.000 1.000 1 1.000 1.000 [57,] 1 1.000 0.999 1 1.000 0.999 [58,] 1 1.000 0.000 1 1.000 0.000 [59,] 1 1.000 1.000 1 1.000 1.000 [60,] 1 1.000 1.000 1 1.000 1.000 [61,] 0 0.000 0.000 0 0.000 0.000 [62,] 1 1.000 1.000 1 1.000 1.000 [63,] 1 0.611 0.000 0 0.000 0.000 [64,] 1 1.000 1.000 1 1.000 1.000 [65,] 1 1.000 1.000 1 1.000 1.000 [66,] 1 1.000 1.000 1 1.000 1.000 [67,] 1 1.000 1.000 1 1.000 1.000 [68,] 1 1.000 1.000 1 1.000 1.000 [69,] 1 0.786 0.000 0 0.000 0.000 [70,] 1 1.000 1.000 1 1.000 1.000 [71,] 1 1.000 1.000 1 1.000 1.000 [72,] 1 1.000 1.000 1 1.000 1.000 [73,] 1 1.000 1.000 1 1.000 1.000 [74,] 1 1.000 1.000 1 1.000 1.000 [75,] 1 1.000 1.000 1 1.000 1.000 [76,] 1 1.000 1.000 1 1.000 1.000 [77,] 1 1.000 1.000 1 1.000 1.000 [78,] 1 1.000 1.000 1 1.000 1.000 [79,] 1 1.000 1.000 1 1.000 1.000 [80,] 1 1.000 1.000 1 1.000 1.000 [81,] 1 1.000 1.000 1 1.000 1.000 [82,] 1 1.000 0.999 1 1.000 0.999 [83,] 1 1.000 1.000 1 1.000 1.000 [84,] 1 1.000 1.000 1 1.000 1.000 [85,] 1 1.000 1.000 1 1.000 1.000 [86,] 1 1.000 0.000 1 1.000 0.000 [87,] 1 1.000 1.000 1 1.000 1.000 [88,] 1 1.000 0.000 1 1.000 0.000 [89,] 1 1.000 1.000 1 1.000 1.000 [90,] 1 1.000 1.000 1 1.000 1.000 [91,] 1 1.000 1.000 1 1.000 1.000 [92,] 1 1.000 1.000 1 1.000 1.000 [93,] 1 1.000 1.000 1 1.000 1.000 [94,] 1 0.944 0.000 0 0.001 0.000 [95,] 1 1.000 1.000 1 1.000 1.000 [96,] 1 1.000 1.000 1 1.000 1.000 [97,] 1 1.000 1.000 1 1.000 1.000 [98,] 1 1.000 1.000 1 1.000 1.000 [99,] 1 1.000 0.000 1 1.000 0.000 [100,] 1 1.000 1.000 1 1.000 1.000 [101,] 1 1.000 0.000 1 1.000 0.000 [102,] 1 1.000 1.000 1 1.000 1.000 [103,] 1 1.000 1.000 1 1.000 1.000 [104,] 1 1.000 1.000 1 1.000 1.000 [105,] 1 1.000 1.000 1 1.000 1.000 [106,] 1 1.000 0.000 1 0.998 0.000 [107,] 1 1.000 0.000 0 0.317 0.000 [108,] 1 1.000 0.000 1 1.000 0.000 [109,] 1 1.000 0.000 1 0.999 0.000 [110,] 0 0.000 0.000 0 0.000 0.000 [111,] 1 1.000 1.000 1 1.000 1.000 [112,] 1 1.000 1.000 1 1.000 1.000 [113,] 1 1.000 1.000 1 1.000 1.000 [114,] 1 1.000 0.000 1 1.000 0.000 [115,] 1 1.000 0.899 1 1.000 0.899 [116,] 1 1.000 1.000 1 1.000 1.000 [117,] 1 1.000 1.000 1 1.000 1.000 [118,] 0 0.000 0.000 0 0.000 0.000 [119,] 0 0.000 0.000 0 0.000 0.000 [120,] 0 0.028 0.000 0 0.000 0.000 [121,] 1 1.000 1.000 1 1.000 1.000 [122,] 1 1.000 1.000 1 1.000 1.000 [123,] 0 0.000 0.000 0 0.000 0.000 [124,] 1 1.000 1.000 1 1.000 1.000 [125,] 1 1.000 1.000 1 1.000 1.000 [126,] 1 1.000 0.229 1 1.000 0.229 [127,] 1 1.000 1.000 1 1.000 1.000 [128,] 1 1.000 1.000 1 1.000 1.000 [129,] 1 1.000 1.000 1 1.000 1.000 [130,] 1 1.000 0.702 1 1.000 0.702 [131,] 1 1.000 0.000 0 0.357 0.000 [132,] 0 0.000 0.000 0 0.000 0.000 [133,] 1 1.000 1.000 1 1.000 1.000 [134,] 1 1.000 1.000 1 1.000 1.000 [135,] 1 1.000 0.818 1 1.000 0.818 [136,] 1 1.000 0.000 1 0.999 0.000 [137,] 1 1.000 0.000 1 1.000 0.000 [138,] 1 1.000 1.000 1 1.000 1.000 [139,] 1 1.000 1.000 1 1.000 1.000 [140,] 1 1.000 1.000 1 1.000 1.000 [141,] 1 1.000 1.000 1 1.000 1.000 [142,] 1 1.000 1.000 1 1.000 1.000 [143,] 1 1.000 1.000 1 1.000 1.000 [144,] 1 1.000 1.000 1 1.000 1.000 [145,] 1 1.000 1.000 1 1.000 1.000 [146,] 1 1.000 1.000 1 1.000 1.000 [147,] 1 1.000 0.991 1 1.000 0.991 [148,] 1 1.000 1.000 1 1.000 1.000 [149,] 1 1.000 0.000 1 1.000 0.000 [150,] 1 1.000 1.000 1 1.000 1.000 > > > try( # testing (tol=0 too small) + chk.NN.new.old(cN, cN1, tol=0) + ) classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error : Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 > ## This used to fail when we use R's instead of BLAS matrix products: > if(doCheck) + chk.NN.new.old(cN, cN1, tol = 4e-15) # seen 1.1e-15 work classification accordance matrix: old new 0 1 0 10 0 1 5 135 Error: Not all.equal(UN(cNew[1:4]), UN(cNold[1:4]), tol = tol.1): Component "cov": Mean relative difference: 0.01479474 Component "mu": Mean relative difference: 0.003191909 Component "postprob": Mean relative difference: 0.1351993 Component "classification": Mean relative difference: 1 Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Package round

Current CRAN status: OK: 13

Package sca

Current CRAN status: NOTE: 2, OK: 11

Version: 0.9-2
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Martin Maechler <maechler@stat.math.ethz.ch>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: c(person(given = "Valentin", family = "Rousson", role = "aut", email = "rousson@ifspm.unizh.ch"), person(given = "Martin", family = "Maechler", role = c("aut", "cre"), email = "maechler@stat.math.ethz.ch")) as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package sfsmisc

Current CRAN status: OK: 13

Package simest

Current CRAN status: ERROR: 3, OK: 10

Version: 0.4-1-1
Check: tests
Result: ERROR Running ‘ex_cvx.R’ [26s/26s] Running ‘fastmerge-ex.R’ [1s/1s] Running ‘smooth.pen_agcv.R’ [0s/0s] Running the tests in ‘tests/smooth.pen_agcv.R’ failed. Complete output: > library(simest) > > ## Test smooth.pen.reg(*, agcv=TRUE) --------------- > > ## -- Using a subset of R's sunspots data ------ > osV <- abbreviate(gsub("[^[:alnum:]]", '', sub("\\(.*", '', osVersion)), 12) > > if(!dev.interactive(TRUE)) pdf(paste0("smooth.pen_sunsp__", osV, ".pdf"), width = 9, height=5) > > str(ssp <- window(sunspot.m2014, start = 1900)) Error: object 'sunspot.m2014' not found Execution halted Flavor: r-oldrel-macos-arm64

Version: 0.4-1-1
Check: tests
Result: ERROR Running ‘ex_cvx.R’ [49s/80s] Running ‘fastmerge-ex.R’ [4s/7s] Running ‘smooth.pen_agcv.R’ [2s/2s] Running the tests in ‘tests/smooth.pen_agcv.R’ failed. Complete output: > library(simest) > > ## Test smooth.pen.reg(*, agcv=TRUE) --------------- > > ## -- Using a subset of R's sunspots data ------ > osV <- abbreviate(gsub("[^[:alnum:]]", '', sub("\\(.*", '', osVersion)), 12) > > if(!dev.interactive(TRUE)) pdf(paste0("smooth.pen_sunsp__", osV, ".pdf"), width = 9, height=5) > > str(ssp <- window(sunspot.m2014, start = 1900)) Error: object 'sunspot.m2014' not found Execution halted Flavor: r-oldrel-macos-x86_64

Version: 0.4-1-1
Check: tests
Result: ERROR Running 'ex_cvx.R' [88s] Running 'fastmerge-ex.R' [7s] Running 'smooth.pen_agcv.R' [3s] Running the tests in 'tests/smooth.pen_agcv.R' failed. Complete output: > library(simest) > > ## Test smooth.pen.reg(*, agcv=TRUE) --------------- > > ## -- Using a subset of R's sunspots data ------ > osV <- abbreviate(gsub("[^[:alnum:]]", '', sub("\\(.*", '', osVersion)), 12) > > if(!dev.interactive(TRUE)) pdf(paste0("smooth.pen_sunsp__", osV, ".pdf"), width = 9, height=5) > > str(ssp <- window(sunspot.m2014, start = 1900)) Error: object 'sunspot.m2014' not found Execution halted Flavor: r-oldrel-windows-x86_64

Package stabledist

Current CRAN status: OK: 13

Package supclust

Current CRAN status: NOTE: 2, OK: 11

Version: 1.1-1
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Martin Maechler <maechler@stat.math.ethz.ch>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: c(person(given = "Marcel", family = "Dettling", role = "aut", email = "marcel.dettling@zhaw.ch"), person(given = "Martin", family = "Maechler", role = c("aut", "cre"), email = "maechler@stat.math.ethz.ch")) as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package VLMC

Current CRAN status: OK: 13