Package: filtro 0.2.0.9000

Frances Lin

filtro: Feature Selection Using Supervised Filter-Based Methods

Tidy tools to apply filter-based supervised feature selection methods. These methods score and rank feature relevance using metrics such as p-values, correlation, and importance scores (Kuhn and Johnson (2019) <doi:10.1201/9781315108230>).

Authors:Frances Lin [aut, cre], Max Kuhn [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]

filtro_0.2.0.9000.tar.gz
filtro_0.2.0.9000.zip(r-4.7)filtro_0.2.0.9000.zip(r-4.6)filtro_0.2.0.9000.zip(r-4.5)
filtro_0.2.0.9000.tgz(r-4.6-any)filtro_0.2.0.9000.tgz(r-4.5-any)
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filtro_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
filtro/json (API)
NEWS

# Install 'filtro' in R:
install.packages('filtro', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tidymodels/filtro/issues

Pkgdown/docs site:https://filtro.tidymodels.org

Datasets:

On CRAN:

Conda:

quarto

6.96 score 7 stars 1 packages 18 scripts 236 downloads 36 exports 24 dependencies

Last updated from:8722710f6c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK208
source / vignettesOK218
linux-release-x86_64OK196
macos-release-arm64OK155
macos-oldrel-arm64OK149
windows-develOK201
windows-releaseOK194
windows-oldrelOK190
wasm-releaseOK129

Exports:arrange_scorebind_scoresclass_scoreclass_score_aovclass_score_corclass_score_imp_rfclass_score_info_gainclass_score_listclass_score_roc_aucclass_score_xtabdont_log_pvaluesfill_safe_valuefill_safe_valuesfitrank_best_score_denserank_best_score_minrequired_pkgsscore_aov_fstatscore_aov_pvalscore_cor_pearsonscore_cor_spearmanscore_gain_ratioscore_imp_rfscore_imp_rf_conditionalscore_imp_rf_obliquescore_info_gainscore_roc_aucscore_sym_uncertscore_xtab_pval_chisqscore_xtab_pval_fishershow_best_desirability_numshow_best_desirability_propshow_best_score_cutoffshow_best_score_dualshow_best_score_numshow_best_score_prop

Dependencies:clicpp11desirability2dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpROCpurrrR6RcpprlangS7stringistringrtibbletidyrtidyselectutf8vctrswithr

Introduction to filtro

Rendered fromfiltro.qmdusingquarto::htmlon May 24 2026.

Last update: 2025-08-14
Started: 2025-08-06

Scoring via random forests

Rendered fromforestimp.qmdusingquarto::htmlon May 24 2026.

Last update: 2025-08-14
Started: 2025-08-08

Readme and manuals

Help Manual

Help pageTopics
Ames exampled score resultsames_scores_results
Arrange scorearrange_score
Bind score class object, including their associated metadata and scoresbind_scores
S7 subclass of base R's 'list' for method dispatchclass_score_list
Disable -log10 transformation of p-valuesdont_log_pvalues
Fill safe value _(singular)_fill_safe_value
Fill safe values _(plural)_fill_safe_values
Rank score based on 'dplyr::dense_rank()', where tied values receive the same rank and ranks are without gaps _(singular)_rank_best_score_dense
Rank score based on 'dplyr::min_rank()', where tied values receive the same rank and ranks are with gaps _(singular)_rank_best_score_min
Scoring via analysis of variance hypothesis testsscore_aov_fstat score_aov_pval
Scoring via correlation coefficientscore_cor_pearson score_cor_spearman
Scoring via random forestsscore_imp_rf score_imp_rf_conditional score_imp_rf_oblique
Scoring via entropy-based filtersscore_gain_ratio score_info_gain score_sym_uncert
Scoring via area under the Receiver Operating Characteristic curve (ROC AUC)score_roc_auc
Scoring via the chi-squared test or Fisher's exact testscore_xtab_pval_chisq score_xtab_pval_fisher
Show best desirability scores, based on number of predictors _(plural)_show_best_desirability_num
Show best desirability scores, based on proportion of predictors _(plural)_show_best_desirability_prop
Show best score, based on based on cutoff value _(singular)_show_best_score_cutoff
Show best score, based on number or proportion of predictors with optional cutoff value _(singular)_show_best_score_dual
Show best score, based on number of predictors _(singular)_show_best_score_num
Show best score, based on proportion of predictors _(singular)_show_best_score_prop