R: Feature Selection Using Supervised Filter-Based Methods

# Feature Selection Using Supervised Filter-Based Methods

## Documentation for package ‘filtro’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ames_scores_results | Ames exampled score results
arrange_score | Arrange score
bind_scores | Bind score class object, including their associated metadata and scores
class_score_list | S7 subclass of base R's 'list' for method dispatch
dont_log_pvalues | Disable -log10 transformation of p-values
fill_safe_value | Fill safe value _(singular)_
fill_safe_values | Fill safe values _(plural)_
rank_best_score_dense | Rank score based on 'dplyr::dense_rank()', where tied values receive the same rank and ranks are without gaps _(singular)_
rank_best_score_min | Rank score based on 'dplyr::min_rank()', where tied values receive the same rank and ranks are with gaps _(singular)_
score_aov_fstat | Scoring via analysis of variance hypothesis tests
score_aov_pval | Scoring via analysis of variance hypothesis tests
score_cor_pearson | Scoring via correlation coefficient
score_cor_spearman | Scoring via correlation coefficient
score_gain_ratio | Scoring via entropy-based filters
score_imp_rf | Scoring via random forests
score_imp_rf_conditional | Scoring via random forests
score_imp_rf_oblique | Scoring via random forests
score_info_gain | Scoring via entropy-based filters
score_roc_auc | Scoring via area under the Receiver Operating Characteristic curve (ROC AUC)
score_sym_uncert | Scoring via entropy-based filters
score_xtab_pval_chisq | Scoring via the chi-squared test or Fisher's exact test
score_xtab_pval_fisher | Scoring via the chi-squared test or Fisher's exact test
show_best_desirability_num | Show best desirability scores, based on number of predictors _(plural)_
show_best_desirability_prop | Show best desirability scores, based on proportion of predictors _(plural)_
show_best_score_cutoff | Show best score, based on based on cutoff value _(singular)_
show_best_score_dual | Show best score, based on number or proportion of predictors with optional cutoff value _(singular)_
show_best_score_num | Show best score, based on number of predictors _(singular)_
show_best_score_prop | Show best score, based on proportion of predictors _(singular)_