Feature Selection Using Supervised Filter-Based Methods

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Documentation for package ‘filtro’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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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)_