Last updated on 2026-07-09 23:56:41 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.7.4 | 18.45 | 199.33 | 217.78 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.7.4 | 11.09 | 139.04 | 150.13 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.7.4 | 37.00 | 402.50 | 439.50 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.7.4 | 32.00 | 516.67 | 548.67 | OK | |
| r-devel-windows-x86_64 | 0.7.4 | 19.00 | 231.00 | 250.00 | OK | |
| r-patched-linux-x86_64 | 0.7.4 | 18.56 | 204.22 | 222.78 | OK | |
| r-release-linux-x86_64 | 0.7.4 | 17.49 | 189.10 | 206.59 | 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 | 19.00 | 193.00 | 212.00 | ERROR | |
| 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 | OK |
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: 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 3.854 0.14 5.426
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-release-windows-x86_64