Example 1 | Example 2
Package: crossvalidation 0.6.2
T. Moudiki
crossvalidation: Generic cross-validation functions
The packages provides generic functions for cross-validation of Statistical/Machine Learning models, including forecasting models.
Authors:
crossvalidation_0.6.2.tar.gz
crossvalidation_0.6.2.zip(r-4.7)crossvalidation_0.6.2.zip(r-4.6)crossvalidation_0.6.2.zip(r-4.5)
crossvalidation_0.6.2.tgz(r-4.6-any)crossvalidation_0.6.2.tgz(r-4.5-any)
crossvalidation_0.6.2.tar.gz(r-4.7-any)crossvalidation_0.6.2.tar.gz(r-4.6-any)
crossvalidation_0.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
crossvalidation/json (API)
| # Install 'crossvalidation' in R: |
| install.packages('crossvalidation', repos = c('https://techtonique.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/techtonique/crossvalidation/issues
Last updated from:69c3f590f9. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 190 | ||
| source / vignettes | OK | 234 | ||
| linux-release-x86_64 | WARNING | 188 | ||
| macos-release-arm64 | WARNING | 120 | ||
| macos-oldrel-arm64 | WARNING | 161 | ||
| windows-devel | WARNING | 134 | ||
| windows-release | WARNING | 137 | ||
| windows-oldrel | WARNING | 116 | ||
| wasm-release | OK | 131 |
Exports:boxplot.cvsamplescreate_foldscreate_samplescreate_time_slicescrossval_mlcrossval_tseval_tsfit_lmpredict_lmsplit_ts
crossval_proba_ts
Last update: 2026-05-10
Started: 2026-05-10
crossval_ts
Last update: 2025-10-02
Started: 2025-10-02
boxplots for model performance
0 - Global parameters | 1 - Regression | least squares | glmnet | Random Forest | xgboost | boxplots for regression | 2 - classification | boxplots for classification
Last update: 2023-08-26
Started: 2023-08-26
quickstart
Regression | Create a dataset | Cross-validation for a few models | Time series | Classification
Last update: 2023-08-26
Started: 2021-07-18
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Boxplots of cross-validation performances | boxplot.cvsamples |
| Create Stratified Cross-Validation Folds | create_folds |
| Create a data structure of cross-validation results | create_samples |
| Create Rolling Time Series Training and Test Slices | create_time_slices |
| Generic cross-validation function | crossval_ml |
| Generic cross-validation function for time series | crossval_ts |
| Rolling origin evaluation on validation set (time series) | eval_ts |
| Fit linear model | fit_lm |
| Linear model prediction | predict_lm |
| Split a time series | split_ts |
