In ymabene/Counternull: Randomization-Based Inference

knitr::opts_chunk$set(
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Counternull

Counternull package allows users to conduct Randomization-Based Inference for customized experiments. The package may be used to compute Fisher-Exact P-Values alongside null randomization distributions. Additionally, users can retrieve counternull sets, generate counternull distributions, compute Fisher Intervals, and Fisher-Adjusted P-Values. The package may be used on data of any size and distribution including usage with custom made test statistics.

Installation

You can install the released version of Counternull from CRAN with:

install.packages("Counternull")

Usage

Examples of functions that can be used in Counternull Package:

library(Counternull)
y = sample_data$turn_angle
w = sample_data$w
n_r = create_null_rand(y, w, sample_matrix, test_stat = c("t"))
summary(n_r)
plot(n_r)

n_r = create_null_rand(sample_data$turn_angle, sample_data$w,
sample_matrix, test_stat = c("diffmeans"))
c = find_counternull_values(n_r)
summary(c)
plot(c)