CRAN Package Check Results for Package fPASS

Last updated on 2024-05-01 16:52:55 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.0 11.12 669.13 680.25 OK
r-devel-linux-x86_64-debian-gcc 1.0.0 9.48 484.14 493.62 OK
r-devel-linux-x86_64-fedora-clang 1.0.0 852.32 OK
r-devel-linux-x86_64-fedora-gcc 1.0.0 819.59 OK
r-devel-windows-x86_64 1.0.0 12.00 437.00 449.00 OK
r-patched-linux-x86_64 1.0.0 13.23 649.75 662.98 ERROR
r-release-linux-x86_64 1.0.0 8.31 628.64 636.95 OK
r-release-macos-arm64 1.0.0 208.00 OK
r-release-windows-x86_64 1.0.0 11.00 435.00 446.00 OK
r-oldrel-macos-arm64 1.0.0 187.00 OK
r-oldrel-macos-x86_64 1.0.0 392.00 OK
r-oldrel-windows-x86_64 1.0.0 17.00 599.00 616.00 OK

Check Details

Version: 1.0.0
Check: tests
Result: ERROR Running ‘testthat.R’ [87s/99s] 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/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(fPASS) Power and Sample Size for Projection Test under Repeated Measures : Version 1.0.0 > > test_check("fPASS") NULL values are specified for the arguments: Eigen function has been provided Estimation of eigenfunction starts Number of observations per subject varies, internally setting missing_type must be `nomiss` and missing percent to zero number of measurements will be taken randomly between 4 and 7 Eigenfunction is estimated based on a sample of size = 5000 NULL values are specified for the arguments: Eigen function has been provided Estimation of eigenfunction starts Eigenfunction is estimated based on a sample of size = 5000 NULL values are specified for the arguments: Eigen function has been provided Estimation of eigenfunction starts Number of observations per subject varies, internally setting missing_type must be `nomiss` and missing percent to zero number of measurements will be taken randomly between 4 and 7 Eigenfunction is estimated based on a sample of size = 5000 Measurement error variance is estimated to be zero, setting to 1e-6 NULL values are specified for the arguments: Eigen function has been provided Estimation of eigenfunction starts Eigenfunction is estimated based on a sample of size = 5000 User did not specify values to the following arguments: work.grid ---- default values are used NULL values are specified for the arguments: User did not specify values to the following arguments: work.grid ---- default values are used NULL values are specified for the arguments: Computing power of Projection-based test for total sample size = 100 NULL values are specified for the arguments: Eigen function has been provided Estimation of eigenfunction starts Number of observations per subject varies, internally setting missing_type must be `nomiss` and missing percent to zero number of measurements will be taken randomly between 4 and 7 Eigenfunction is estimated based on a sample of size = 5000 [1] 0.0501 User did not specify values to the following arguments: nsim ---- default values are used User did not specify values to the following arguments: nsim ---- default values are used User did not specify values to the following arguments: nsim ---- default values are used User did not specify values to the following arguments: nsim ---- default values are used User did not specify values to the following arguments: nsim ---- default values are used User did not specify values to the following arguments: nsim ---- default values are used User did not specify values to the following arguments: nsim ---- default values are used User did not specify values to the following arguments: nsim ---- default values are used [ FAIL 1 | WARN 0 | SKIP 0 | PASS 550 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-Power_Hotelling_T.R:83:23'): pHotellingT() provides the correct power when H0 is true and the covariance are unequal ── `obs.error` is not less than `exp.err`. Difference: 0.0005 [ FAIL 1 | WARN 0 | SKIP 0 | PASS 550 ] Error: Test failures Execution halted Flavor: r-patched-linux-x86_64