R Observatory: Metrics for randomizationInference version 1.0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

randomizationInference

1.0.4Package record

Flexible Randomization-Based Inference

0packages depend

2.3Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Joseph J. LeeCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("randomizationInference", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-randomizationinference

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-randomizationInference

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-randomizationInference

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Joseph J. Lee <joseph.j.lee@post.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Joseph", "J."),
                      family = "Lee",
                      role = c("aut", "cre"),
                      email = "joseph.j.lee@post.harvard.edu"),
               person(given = "Tirthankar",
                      family = "Dasgupta",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 56 s · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.4

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 14includes a package overview page
Examples that run: 100%14 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 21%

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #21,438 · ~6/day · ~190/mo

Releases R versions

Daily download trend is not available in this view yet.

26030 days

61890 days

2.3K1 year

Compare downloads with other packages →

Also on72 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing randomizationInference adds 2 packages (1 with compiled code, 325 KB of source tarballs). Heaviest: matrixStats 207 KB, permute 118 KB.

Depends (0)

none

Imports (4)

permute matrixStatsgraphicsstats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (from the free-text Author field) (2)

Joseph J. Lee

Tirthankar Dasgupta

Maintainer since 1.0.0 (2013)

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.0.4Latest
record
2022-05-17 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.0.3
record
2015-01-09 · diff ↗
1.0.2
record
2014-09-20 · diff ↗
R
R 3.1.0 released · 2014-04-10

Show 3 earlier eventsHide 3 earlier events

1.0.1
record
2013-12-03 · diff ↗
1.0.0
record
2013-09-10
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2013-09-10
Total releases: 5 / 13 yrs
License: GPL-2 OSI
Bundled data: 0.6 KB / 1 file
Download size: 11 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("randomizationInference")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for randomizationInference version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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