wasserman_normal_sim: Normal simulation: Covariate is effect size under alternative

In nignatiadis/ihwPaper: Reproduce figures in IHW paper

Description

Normal simulation: Covariate is effect size under alternative

Usage

wasserman_normal_sim(m, pi0, xi_min, xi_max, seed = NULL)

wasserman_normal_sim_fun(m, pi0, xi_min, xi_max)

Arguments

m	Integer, total number of hypotheses
pi0	Numeric, proportion of null hypotheses
xi_min, xi_max	Numeric, covariates are drawn as uniform on xi_min, xi_max
seed	Integer, Random seed to be used for simulation (default: NULL, i.e. RNG state will be used as is)

Value

A data frame containing all information about the simulation experiment

Functions

• wasserman_normal_sim_fun: Creates a closure function for a given seed

Examples

sim_df <- wasserman_normal_sim(20000,0.9, 1, 5)

nignatiadis/ihwPaper documentation built on Jan. 18, 2021, 3:13 p.m.