Package: crossvalidation 0.5.0
crossvalidation: Generic cross-validation functions
Generic functions for cross-validation of Statistical/Machine Learning models
Authors:
crossvalidation_0.5.0.tar.gz
crossvalidation_0.5.0.zip(r-4.5)crossvalidation_0.5.0.zip(r-4.4)crossvalidation_0.5.0.zip(r-4.3)
crossvalidation_0.5.0.tgz(r-4.4-any)crossvalidation_0.5.0.tgz(r-4.3-any)
crossvalidation_0.5.0.tar.gz(r-4.5-noble)crossvalidation_0.5.0.tar.gz(r-4.4-noble)
crossvalidation_0.5.0.tgz(r-4.4-emscripten)crossvalidation_0.5.0.tgz(r-4.3-emscripten)
crossvalidation.pdf |crossvalidation.html✨
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 3 months agofrom:727f217ac7. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | WARNING | Oct 26 2024 |
R-4.5-linux | WARNING | Oct 26 2024 |
R-4.4-win | WARNING | Oct 26 2024 |
R-4.4-mac | WARNING | Oct 26 2024 |
R-4.3-win | WARNING | Oct 26 2024 |
R-4.3-mac | WARNING | Oct 26 2024 |
Exports:boxplot.cvsamplescreate_foldscreate_samplescreate_time_slicescrossval_mlcrossval_tseval_tsfit_lmpredict_lmsplit_ts
Dependencies:codetoolsdoSNOWevaluateforeachhighriteratorsknitrMASSRcppRcppArmadilloscoringRulessnowxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Boxplots of cross-validation performances | boxplot.cvsamples |
Create a data structure of cross-validation results | create_samples |
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 |