generate_finite_data: Generate data for power simulation

In li-xinran/RIQITE: Randomization Inference for Quantiles of Individual Treatment Effects

Generate data for power simulation

Description

Given a desired sample size and a data generating mechanism, generate a dataset of Y0s and individual treatment effects.

Usage

generate_finite_data(n, Y0_distribution = rnorm, tx_function = "constant", ...)

Arguments

n	Sample size to test
Y0_distribution	Either a function to generate a set of Y0 values, or a list of discrete values to bootstrap sample from (with replacement). Function takes single parameter of sample size. Default is normal.
tx_function	Either a string name of an implemented distribution (rexp, rnorm, linear, etc.) or a function that takes Y0 and returns a set of treatment effects. Default is a constant tx effect. tx_constant.
...	Extra parameters to generate treatment impacts with.

Value

Tibble (dataframe) with two columns, one of Y0s and one (tau) of treatment effects.

li-xinran/RIQITE documentation built on July 1, 2023, 6:58 p.m.