nestedcv (version 0.9.0)

boot_ttest: Bootstrap univariate filters

Description

Randomly samples predictors and averages the ranking from filtering functions including ttest_filter(), wilcoxon_filter(), anova_filter(), correl_filter() and lm_filter() to give an ensemble measure of best predictors by repeated random sampling subjected to a statistical test.

Usage

boot_ttest(y, x, B = 50, ...)
boot_wilcoxon(y, x, B = 50, ...)
boot_anova(y, x, B = 50, ...)
boot_correl(y, x, B = 50, ...)
boot_lm(y, x, B = 50, ...)

Value

Integer vector of indices of filtered parameters (type = "index"), or if type = "full", a matrix of rankings from each bootstrap is returned.

Arguments

y

Response vector

x

Matrix of predictors

B

Number of times to bootstrap

...

Optional arguments passed to the filter function

See Also

ttest_filter(), wilcoxon_filter(), anova_filter(), correl_filter(), lm_filter() and boot_filter()