continuous_wrap: Benchmarking wrapper: Given a multiple testing method,...

In nignatiadis/IHWpaper: Reproduce figures in IHW paper

Description

Benchmarking wrapper: Given a multiple testing method, convert it so that it takes a simulation object (see simulation function) and a nominal level alpha as inputs

Usage

continuous_wrap(mt_method, nbins = 20)

Arguments

mt_method	Multiple testing method (e.g. a function such as gbh or ddhf)
nbins	Integer, number of equally sized bins into which to stratify hypotheses

Value

A new multiple testing function which has an interface of the form f(sim_data_frame, alpha)

Examples

     sim_df <- du_ttest_sim(20000,0.95, 1.5)
     sim_df$group <- groups_by_filter(sim_df$filterstat, 20)
     obj <- tst_gbh(sim_df$pvalue, sim_df$group, .1)
     sum(rejected_hypotheses(obj))

     tst_gbh_continuous <- continuous_wrap(tst_gbh)
     obj2 <- tst_gbh_continuous(sim_df, .1)
     sum(rejected_hypotheses(obj2))

nignatiadis/IHWpaper documentation built on Jan. 18, 2021, 2:24 p.m.