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Last updated on 2026-05-20 23:50:29 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.7.4 | 19.94 | 201.31 | 221.25 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.7.4 | 11.21 | 139.40 | 150.61 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.7.4 | 33.00 | 341.62 | 374.62 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.7.4 | 31.00 | 478.59 | 509.59 | OK | |
| r-devel-windows-x86_64 | 0.7.4 | 22.00 | 238.00 | 260.00 | OK | |
| r-patched-linux-x86_64 | 0.7.4 | 19.84 | 209.49 | 229.33 | OK | |
| r-release-linux-x86_64 | 0.7.4 | 15.63 | 188.88 | 204.51 | 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 | 240.00 | 259.00 | 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 | 26.00 | 304.00 | 330.00 | 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 3.802 0.035 5.53
Flavor: r-release-linux-x86_64
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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