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CRAN Package Check Results for Package pprof

Last updated on 2026-07-17 17:50:02 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.3 75.05 294.18 369.23 OK
r-devel-linux-x86_64-debian-gcc 1.0.3 57.37 219.16 276.53 OK
r-devel-linux-x86_64-fedora-clang 1.0.3 112.00 486.10 598.10 OK
r-devel-linux-x86_64-fedora-gcc 1.0.3 63.00 196.32 259.32 OK
r-devel-windows-x86_64 1.0.3 92.00 190.00 282.00 ERROR
r-patched-linux-x86_64 1.0.3 70.86 229.15 300.01 ERROR
r-release-linux-x86_64 1.0.3 76.95 235.87 312.82 ERROR
r-release-macos-arm64 1.0.3 16.00 70.00 86.00 OK
r-release-macos-x86_64 1.0.3 50.00 304.00 354.00 OK
r-release-windows-x86_64 1.0.3 93.00 177.00 270.00 ERROR
r-oldrel-macos-arm64 1.0.3 OK
r-oldrel-macos-x86_64 1.0.3 61.00 355.00 416.00 OK
r-oldrel-windows-x86_64 1.0.3 113.00 241.00 354.00 ERROR

Check Details

Version: 1.0.3
Check: examples
Result: ERROR Running examples in 'pprof-Ex.R' failed The error most likely occurred in: > ### Name: SM_output.logis_cre > ### Title: Calculate direct/indirect standardized ratios/rates from a > ### fitted 'logis_cre' object > ### Aliases: SM_output.logis_cre > > ### ** Examples > > data(ExampleDataBinary) > outcome <- ExampleDataBinary$Y > covar <- ExampleDataBinary$Z > ProvID <- ExampleDataBinary$ProvID > data <- data.frame(outcome, ProvID, covar) > outcome.char <- colnames(data)[1] > ProvID.char <- colnames(data)[2] > wb.char <- c("z1", "z2") > other.char <- c("z3", "z4", "z5") > fit_cre <- logis_cre(data = data, Y.char = outcome.char, ProvID.char = ProvID.char, + wb.char = wb.char, other.char = other.char) Flavors: r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

Version: 1.0.3
Check: tests
Result: ERROR Running 'testthat.R' [18s] Running the tests in 'tests/testthat.R' failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(pprof) > > test_check("pprof") Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Flavor: r-devel-windows-x86_64

Version: 1.0.3
Check: examples
Result: ERROR Running examples in ‘pprof-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: SM_output.logis_cre > ### Title: Calculate direct/indirect standardized ratios/rates from a > ### fitted 'logis_cre' object > ### Aliases: SM_output.logis_cre > > ### ** Examples > > data(ExampleDataBinary) > outcome <- ExampleDataBinary$Y > covar <- ExampleDataBinary$Z > ProvID <- ExampleDataBinary$ProvID > data <- data.frame(outcome, ProvID, covar) > outcome.char <- colnames(data)[1] > ProvID.char <- colnames(data)[2] > wb.char <- c("z1", "z2") > other.char <- c("z3", "z4", "z5") > fit_cre <- logis_cre(data = data, Y.char = outcome.char, ProvID.char = ProvID.char, + wb.char = wb.char, other.char = other.char) Error: Downdated VtV is not positive definite Execution halted Flavor: r-patched-linux-x86_64

Version: 1.0.3
Check: tests
Result: ERROR Running ‘testthat.R’ [80s/112s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(pprof) > > test_check("pprof") Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-SM_output-99.R Saving _problems/test-SM_output-125.R Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-confint-132.R Input format: Y, Z, and ProvID. Input format: data, Y.char, Z.char, and ProvID.char. Input format: formula and data. Input format: Y, Z, and ProvID. Input format: data, Y.char, Z.char, and ProvID.char. Input format: formula and data. Saving _problems/test-logis_cre-13.R Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: data, Y.char, Z.char, and ProvID.char. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: formula and data. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Input format: data, Y.char, Z.char, and ProvID.char. Input format: formula and data. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-summary-90.R Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-test-106.R [ FAIL 6 | WARN 0 | SKIP 0 | PASS 141 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-SM_output.R:99:3'): SM_output.logis_re function behaves correctly ── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-SM_output.R:99:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-SM_output.R:125:3'): SM_output.logis_cre function behaves correctly ── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_cre(...) at test-SM_output.R:125:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-confint.R:132:3'): test.logis_re function behaves correctly ──── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-confint.R:132:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-logis_cre.R:13:3'): logis_cre function behaves correctly ─────── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_cre(...) at test-logis_cre.R:13:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-summary.R:90:3'): summary.logis_re function behaves correctly ── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-summary.R:90:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-test.R:106:3'): test.logis_re function behaves correctly ─────── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-test.R:106:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) [ FAIL 6 | WARN 0 | SKIP 0 | PASS 141 ] Error: ! Test failures. Execution halted Flavor: r-patched-linux-x86_64

Version: 1.0.3
Check: examples
Result: ERROR Running examples in ‘pprof-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: SM_output.logis_re > ### Title: Calculate direct/indirect standardized ratios/rates from a > ### fitted 'logis_re' object > ### Aliases: SM_output.logis_re > > ### ** Examples > > data(ExampleDataBinary) > outcome = ExampleDataBinary$Y > covar = ExampleDataBinary$Z > ProvID = ExampleDataBinary$ProvID > fit_re <- logis_re(Y = outcome, Z = covar, ProvID = ProvID) Input format: Y, Z, and ProvID. Error: Downdated VtV is not positive definite Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed SM_output.logis_cre 13.986 0.067 21.058 Flavor: r-release-linux-x86_64

Version: 1.0.3
Check: tests
Result: ERROR Running ‘testthat.R’ [70s/108s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(pprof) > > test_check("pprof") Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-SM_output-99.R Saving _problems/test-SM_output-125.R Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-confint-132.R Input format: Y, Z, and ProvID. Input format: data, Y.char, Z.char, and ProvID.char. Input format: formula and data. Input format: Y, Z, and ProvID. Input format: data, Y.char, Z.char, and ProvID.char. Input format: formula and data. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: data, Y.char, Z.char, and ProvID.char. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: formula and data. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-logis_re-13.R Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-summary-90.R Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Saving _problems/test-test-106.R Saving _problems/test-test-129.R [ FAIL 7 | WARN 0 | SKIP 0 | PASS 139 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-SM_output.R:99:3'): SM_output.logis_re function behaves correctly ── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-SM_output.R:99:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-SM_output.R:125:3'): SM_output.logis_cre function behaves correctly ── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_cre(...) at test-SM_output.R:125:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-confint.R:132:3'): test.logis_re function behaves correctly ──── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-confint.R:132:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-logis_re.R:13:3'): logis_re function behaves correctly ───────── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-logis_re.R:13:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-summary.R:90:3'): summary.logis_re function behaves correctly ── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-summary.R:90:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-test.R:106:3'): test.logis_re function behaves correctly ─────── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_re(Y = Y, Z = Z, ProvID = ProvID) at test-test.R:106:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) ── Error ('test-test.R:129:3'): test.logis_cre function behaves correctly ────── <Rcpp::exception/C++Error/error/condition> Error: Downdated VtV is not positive definite Backtrace: ▆ 1. └─pprof::logis_cre(...) at test-test.R:129:3 2. └─lme4::glmer(...) 3. └─lme4::optimizeGlmer(...) 4. └─lme4:::optwrap(...) 5. ├─base::withCallingHandlers(...) 6. ├─base::do.call(optfun, arglist) 7. └─lme4 (local) `<fn>`(...) 8. ├─nM$newf(fn(nM$xeval())) 9. │ └─base::stopifnot(length(value <- as.numeric(value)) == 1L) 10. └─lme4 (local) fn(nM$xeval()) 11. └─lme4 (local) pwrssUpdate(...) [ FAIL 7 | WARN 0 | SKIP 0 | PASS 139 ] Error: ! Test failures. Execution halted Flavor: r-release-linux-x86_64

Version: 1.0.3
Check: tests
Result: ERROR Running 'testthat.R' [10s] Running the tests in 'tests/testthat.R' failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(pprof) > > test_check("pprof") Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Flavor: r-release-windows-x86_64

Version: 1.0.3
Check: tests
Result: ERROR Running 'testthat.R' [12s] Running the tests in 'tests/testthat.R' failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(pprof) > > test_check("pprof") Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. Input format: Y, Z, and ProvID. 3 out of 100 remaining providers with no events. 0 out of 100 remaining providers with all events. After screening, 38.77% of all records exhibit occurrences of events (Y = 1) Implementing SerBIN algorithm (Rcpp) for fixed provider effects model ... Iter 1: Minimum criterion across all checks is 5.022e-01; Iter 2: Minimum criterion across all checks is 1.422e-01; Iter 3: Minimum criterion across all checks is 3.528e-02; Iter 4: Minimum criterion across all checks is 5.671e-03; Iter 5: Minimum criterion across all checks is 1.214e-03; Iter 6: Minimum criterion across all checks is 2.151e-04; Iter 7: Minimum criterion across all checks is 6.647e-05; Iter 8: Minimum criterion across all checks is 7.565e-06; serBIN (Rcpp) algorithm converged after 8 iterations! Setting levels: control = 0, case = 1 Setting direction: controls < cases Input format: Y, Z, and ProvID. Flavor: r-oldrel-windows-x86_64

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