CRAN Package Check Results for Package nixmass

Last updated on 2024-11-21 19:52:43 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.0.2	3.46	35.13	38.59	NOTE
r-devel-linux-x86_64-debian-gcc	1.0.2	2.73	25.41	28.14	NOTE
r-devel-linux-x86_64-fedora-clang	1.0.2			65.23	NOTE
r-devel-linux-x86_64-fedora-gcc	1.0.2			59.57	NOTE
r-devel-windows-x86_64	1.0.2	5.00	53.00	58.00	NOTE
r-patched-linux-x86_64	1.0.2	3.83	33.72	37.55	NOTE
r-release-linux-x86_64	1.0.2	3.83	33.50	37.33	NOTE
r-release-macos-arm64	1.0.2			21.00	NOTE
r-release-macos-x86_64	1.0.2			53.00	NOTE
r-release-windows-x86_64	1.0.2	5.00	54.00	59.00	FAIL
r-oldrel-macos-arm64	1.0.2			21.00	OK
r-oldrel-macos-x86_64	1.0.2			32.00	OK
r-oldrel-windows-x86_64	1.0.2	5.00	60.00	65.00	OK

Check Details

Version: 1.0.2
Check: Rd files
Result: NOTE checkRd: (-1) nixmass.Rd:25: Lost braces 25 | \code{nixmass}{ This function is a wrapper for the computation of SWE with different models. The process based model \code{\link[=swe.delta.snow]{delta.snow}} can be chosen, as well as different empirical regression models of \code{\link[=swe.jo09]{Jonas},\link[=swe.pi16]{Pistocchi}, \link[=swe.st10]{Sturm}} and \link[=swe.gu19]{Guyennon}}. | ^ checkRd: (-1) swe.delta.snow.Rd:31-36: Lost braces 31 | \code{swe.delta.snow}{ computes SWE solely from daily changes of snow depth at an observation site. \cr | ^ checkRd: (-1) swe.gu19.Rd:23-26: Lost braces 23 | \code{swe.gu19}{ Similar to the model of Pistocchi (2016), this function uses only the day-of-year (DOY) as parameterization for bulk snow density and hence SWE. In contrast to the latter, here, a quadratic term for DOY was added, to reflect non-linearity in the snow bulk density variability. The datums in the input data.frame are converted to DOY as days spent since November 1st. Regression coefficients depend on regions defined in Guyennon et al. (2019), which are \emph{italy} for the Italian Alps, \emph{southwest} for the South-western Italian Alps, \emph{central} for the Central Italian Alpes or \emph{southeast} for the South-western Italian Alps. | ^ checkRd: (-1) swe.jo09.Rd:20: Lost braces 20 | \code{swe.jo09}{ This model parametrizes bulk snow density using snow depth, season (i.e. month), site altitude and site location. The location is implemented by a density offset according to the region in Switzerland, where the station belongs to. Non computable values are returned as NA.} | ^ checkRd: (-1) swe.pi16.Rd:20: Lost braces 20 | \code{swe.pi16}{ This function uses only the day-of-year (DOY) as parameterization for bulk snow density and hence SWE. Here, the datums in the input data.frame are converted to DOY as defined in the original reference: negative values between 1.10. and 31.12. DOY=-92 at 1.10. In leap years 31.12. has DOY = 0, in non-leap years 31.12. has DOY = -1 with no day being 0. Non computable values are returned as NA.} | ^ checkRd: (-1) swe.st10.Rd:18-19: Lost braces 18 | \code{swe.st10}{ This model converts snow depth to SWE using snow depth, day of year and station location (from which a climate class of snow can be inferred. The day of year (DOY) is the day-number of in the season 1.10. - 30.6. The 1.10. refers to DOY = -92. The 1.2. would be DOY = 32, while 15.11. would be DOY = -47. The \emph{snowclass.st10} must be one out of the character strings "alpine","maritime","prairie","tundra" and "taiga". For the Alps probably "alpine" would be the most appropriate climate classification. | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

Version: 1.0.2
Check: PDF version of manual
Result: FAIL Check process probably crashed or hung up for 20 minutes ... killed Most likely this happened in the example checks (?), if not, ignore the following last lines of example output: > plot(o) > > o1 <- nixmass(hsdata, alt=600, region.jo09=6, region.gu19 = "central", + snowclass.st10 = "alpine", verbose = FALSE) > plot(o1) > summary(o1) Min. 1st Qu. Median Mean 3rd Qu. Max. delta.snow 0 0 0.0000 38.58482 28.34948 282.2533 jo09 0 0 0.0000 44.26306 30.09840 393.6400 pi16 0 0 0.0000 44.71321 32.64000 410.8000 st10 0 0 0.0000 44.68544 29.29538 439.4121 gu19 0 0 5.3279 56.32120 51.99972 378.7670 > > > > ### * <FOOTER> > ### > cleanEx() > options(digits = 7L) > base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n") Time elapsed: 3.53 0.14 3.69 NA NA > grDevices::dev.off() null device 1 > ### > ### Local variables: *** > ### mode: outline-minor *** > ### outline-regexp: "\\(> \\)?### [*]+" *** > ### End: *** > quit('no') ======== End of example output (where/before crash/hang up occured ?) ======== Flavor: r-release-windows-x86_64