R Observatory: Metrics for nRegression version 0.5.1

Balamuta, James Joseph

nRegression

0.5.1

Simulation-Based Calculations of Sample Size for Linear and Logistic Regression

0packages depend

7.6Kdownloads / year

91.4%test coverage

13/13checks pass

Overview

About

Maintained by Srivastav BuduguttaFirst published 2023-10-152 releasesCRAN page ↗

Provides a function designed to estimate the minimal sample size required to attain a specific statistical power in the context of linear regression and logistic regression models through simulations.

Install

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

install.packages("nRegression", 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-nregression

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-nRegression

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-nRegression

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

Health

CRAN checks

13OK

Slowest check: 1.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.81

91.4%

Coverage · measured lines

100%

Documentation · exports

4

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

7.6K

CRAN downloads in the past year

Rank #6,347 · ~21/day · ~632/mo

Releases R versions

Daily download trend is not available in this view yet.

14330 days

1.4K90 days

7.6K1 year

Compare downloads with other packages →

Also on97 r2u2 autocran

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (4)

data.table covr simitationstats

LinkingTo (0)

none

Suggests (5)

knitr rmarkdown dplyr testthat devtools

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Srivastav Budugutta

Contributor, Maintainer

Authors (1)

David Shilane

Author

Contributors (2)

Srivastav Budugutta

Contributor, Maintainer

Mayur Bansal

Contributor · added in 0.5.1

Package Timeline

2 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
0.5.1Latest
2023-10-18 · current release · diff ↗
0.0.5
2023-10-15
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-10-15
Total releases: 2 / 3 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Download size: 17 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("nRegression")

CRAN DOI

https://doi.org/10.32614/CRAN.package.nRegression

BibTeX, derived from DESCRIPTION

@Manual{nRegression,
  title  = {nRegression: Simulation-Based Calculations of Sample Size for Linear and
Logistic Regression},
  author = {Budugutta, Srivastav and Bansal, Mayur and Shilane, David},
  year   = {2023},
  note   = {R package version 0.5.1},
  doi    = {10.32614/CRAN.package.nRegression},
  url    = {https://CRAN.R-project.org/package=nRegression}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorynRegression,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {nRegression} version 0.5.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/nRegression},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nRegression version 0.5.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/nRegression

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for nRegression version 0.5.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/nRegression
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/nRegression.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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