R Observatory: Metrics for RATest version 0.1.10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CRAN requires the check problems on this package to be fixed before 2026-08-21 or it will be archived.

RATest

0.1.10

Randomization Tests

0packages depend

4Kdownloads / year

–test coverage

7/13checks pass

Overview

About

Maintained by Mauricio OlivaresFirst published 2017-08-1411 releasesCRAN page ↗GitHub ↗

A collection of randomization tests, data sets and examples. The current version focuses on five testing problems and their implementation in empirical work. First, it facilitates the empirical researcher to test for particular hypotheses, such as comparisons of means, medians, and variances from k populations using robust permutation tests, which asymptotic validity holds under very weak assumptions, while retaining the exact rejection probability in finite samples when the underlying distributions are identical. Second, the description and implementation of a permutation test for testing the continuity assumption of the baseline covariates in the sharp regression discontinuity design (RDD) as in Canay and Kamat (2018) https://goo.gl/UZFqt7. More specifically, it allows the user to select a set of covariates and test the aforementioned hypothesis using a permutation test based on the Cramer-von Misses test statistic. Graphical inspection of the empirical CDF and histograms for the variables of interest is also supported in the package. Third, it provides the practitioner with an effortless implementation of a permutation test based on the martingale decomposition of the empirical process for testing for heterogeneous treatment effects in the presence of an estimated nuisance parameter as in Chung and Olivares (2021) doi:10.1016/j.jeconom.2020.09.015. Fourth, this version considers the two-sample goodness-of-fit testing problem under covariate adaptive randomization and implements a permutation test based on a prepivoted Kolmogorov-Smirnov test statistic. Lastly, it implements an asymptotically valid permutation test based on the quantile process for the hypothesis of constant quantile treatment effects in the presence of an estimated nuisance parameter.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ignaciomsarmiento/RATest")

Development version from ignaciomsarmiento/RATest. Installs pak first if it is not already available.

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-ratest

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-RATest

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-RATest

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

6WARNING7OK

Failing flavors

WARNING r-devel-linux-x86_64-debian-clang
WARNING r-devel-linux-x86_64-debian-gcc
WARNING r-devel-linux-x86_64-fedora-clang
WARNING r-devel-linux-x86_64-fedora-gcc
WARNING r-patched-linux-x86_64
WARNING r-release-linux-x86_64

Slowest check: 11.1 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

5

Dependencies · direct

Check history

WARNING2026-06-05
10 OK · 2 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 94 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 14%
Documented parameters: 98%
Return-value docs: 100%
References docs: 67%

Downloads

4K

CRAN downloads in the past year

Rank #11,210 · ~11/day · ~331/mo

Releases R versions

Daily download trend is not available in this view yet.

21730 days

87890 days

4K1 year

Compare downloads with other packages →

Also on122 r2u47 c2d4u

Repository

GitHub ↗ ignaciomsarmiento/ratest

7Stars

1Forks

2Open issues

0Open PRs

0Releases

22Commits

1Contributors

22 commits · Last activity 2018-12-05

Stars over time

2025-06-06 · 72026-07-07 · 7

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ignaciomsarmiento/ratest on 2026-08-16.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.00ggplot2 gridExtra

Imports (3)

statsquantregcompiler

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Mauricio Olivares

Author, Maintainer · added in 0.1.7

Authors (2)

Mauricio Olivares

Author, Maintainer · added in 0.1.7

Ignacio Sarmiento-Barbieri

Author

Listed in earlier versions (1)

Mauricio Olivares-Gonzalez

no longer listed · 0.1.0 to 0.1.6

Package Timeline

11 releases. Pick two to compare their code metrics. R releases are shown for context.

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
0.1.10Latest
2022-09-29 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.9
2021-07-13 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.8
2020-10-17 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.7
2020-01-24 · diff ↗
0.1.6
2019-07-18 · diff ↗
0.1.5
2019-07-12 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.4
2018-11-30 · diff ↗
0.1.3
2018-10-31 · diff ↗

Show 5 earlier events

R
R 3.5.0 released · 2018-04-23
0.1.2
2018-01-23 · diff ↗
0.1.1
2017-10-11 · diff ↗
0.1.0
2017-08-14
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-08-14
Total releases: 11 / 9 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.00
Bundled data: 94 KB / 1 file
Download size: 309 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Econometrics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RATest")

Format

Olivares, M., & Sarmiento-Barbieri, I. (2022). RATest: Randomization Tests (Version 0.1.10) [Computer software]. https://doi.org/10.32614/CRAN.package.RATest

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 RATest version 0.1.10 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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