CRAN Package Check Results for Package tidyfit

Last updated on 2026-07-14 06:52:39 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.7.4 19.10 204.06 223.16 ERROR
r-devel-linux-x86_64-debian-gcc 0.7.4 12.97 141.41 154.38 ERROR
r-devel-linux-x86_64-fedora-clang 0.7.4 32.00 331.92 363.92 OK
r-devel-linux-x86_64-fedora-gcc 0.7.4 33.00 280.11 313.11 OK
r-devel-windows-x86_64 0.7.4 20.00 234.00 254.00 OK
r-patched-linux-x86_64 0.7.4 18.56 204.22 222.78 OK
r-release-linux-x86_64 0.7.4 17.62 188.77 206.39 ERROR
r-release-macos-arm64 0.7.4 4.00 100.00 104.00 OK
r-release-macos-x86_64 0.7.4 13.00 456.00 469.00 OK
r-release-windows-x86_64 0.7.4 23.00 237.00 260.00 OK
r-oldrel-macos-arm64 0.7.4 OK
r-oldrel-macos-x86_64 0.7.4 12.00 267.00 279.00 OK
r-oldrel-windows-x86_64 0.7.4 28.00 309.00 337.00 ERROR

Check Details

Version: 0.7.4
Check: examples
Result: ERROR Running examples in ‘tidyfit-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: .fit.relief > ### Title: ReliefF and RReliefF feature selection algorithm for 'tidyfit' > ### Aliases: .fit.relief > > ### ** Examples > > # Load data > data <- tidyfit::Factor_Industry_Returns > data <- dplyr::filter(data, Industry == "HiTec") > data <- dplyr::select(data, -Date, -Industry) > > # Stand-alone function > fit <- m("relief", Return ~ ., data) Error in m("relief", Return ~ ., data) : Package 'CORElearn' is required for method 'relief'. Run install.packages('CORElearn'). Execution halted Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.7.4
Check: Rd contents
Result: NOTE Rd files without \usage: ‘classify.Rd’ ‘regress.Rd’ \arguments should not be documented without \usage. Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.7.4
Check: examples
Result: ERROR Running examples in ‘tidyfit-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: .fit.relief > ### Title: ReliefF and RReliefF feature selection algorithm for 'tidyfit' > ### Aliases: .fit.relief > > ### ** Examples > > # Load data > data <- tidyfit::Factor_Industry_Returns > data <- dplyr::filter(data, Industry == "HiTec") > data <- dplyr::select(data, -Date, -Industry) > > # Stand-alone function > fit <- m("relief", Return ~ ., data) Error in m("relief", Return ~ ., data) : Package 'CORElearn' is required for method 'relief'. Run install.packages('CORElearn'). Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed dot-fit.enet 3.763 0.057 5.032 Flavor: r-release-linux-x86_64

Version: 0.7.4
Check: examples
Result: ERROR Running examples in 'tidyfit-Ex.R' failed The error most likely occurred in: > ### Name: .fit.glmm > ### Title: Generalized linear mixed-effects model for 'tidyfit' > ### Aliases: .fit.glmm > > ### ** Examples > > # Load data > data <- tidyfit::Factor_Industry_Returns > data$Return <- ifelse(data$Return > 0, 1, 0) > > # Estimate model with random effects > fit <- classify(data, Return ~ CMA + (CMA | Industry), logit = m("glmm"), + .mask = "Date") Flavor: r-oldrel-windows-x86_64