Other packages > Find by keyword >

randomizationInference  

Flexible Randomization-Based Inference
View on CRAN: Click here


Download and install randomizationInference package within the R console
Install from CRAN:
install.packages("randomizationInference")

Install from Github:
library("remotes")
install_github("cran/randomizationInference")

Install by package version:
library("remotes")
install_version("randomizationInference", "1.0.4")



Attach the package and use:
library("randomizationInference")
Maintained by
Joseph J. Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-09-10
Latest Update: 2022-05-17
Description:
Allows the user to conduct randomization-based inference for a wide variety of experimental scenarios. The package leverages a potential outcomes framework to output randomization-based p-values and null intervals for test statistics geared toward any estimands of interest, according to the specified null and alternative hypotheses. Users can define custom randomization schemes so that the randomization distributions are accurate for their experimental settings. The package also creates visualizations of randomization distributions and can test multiple test statistics simultaneously.
How to cite:
Joseph J. Lee (2013). randomizationInference: Flexible Randomization-Based Inference. R package version 1.0.4, https://cran.r-project.org/web/packages/randomizationInference. Accessed 30 May. 2025.
Previous versions and publish date:
1.0.0 (2013-09-10 07:38), 1.0.1 (2013-12-03 20:18), 1.0.2 (2014-09-20 22:04), 1.0.3 (2015-01-09 07:58)
Other packages that cited randomizationInference R package
View randomizationInference citation profile
Other R packages that randomizationInference depends, imports, suggests or enhances
Complete documentation for randomizationInference
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nnfor  
Time Series Forecasting with Neural Networks
Automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully ...
Download / Learn more Package Citations See dependency  
ActiveDriver  
Finding Cancer Driver Proteins with Enriched Mutations in Post-Translational Modification Sites
A mutation analysis tool that discovers cancer driver genes with frequent mutations in protein signa ...
Download / Learn more Package Citations See dependency  
qrmdata  
Data Sets for Quantitative Risk Management Practice
Various data sets (stocks, stock indices, constituent data, FX, zero-coupon bond yield curves, vola ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
fivethirtyeight  
Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'
Datasets and code published by the data journalism website 'FiveThirtyEight' available at ...
Download / Learn more Package Citations See dependency  
DUBStepR  
Correlation-Based Feature Selection for Single-Cell RNA Sequencing Data
Determining the optimal set of feature genes to characterise cell types in single-cell RNA sequencin ...
Download / Learn more Package Citations See dependency  

24,330

R Packages

207,311

Dependencies

65,678

Author Associations

24,331

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA