R Observatory: Metrics for bigstep version 1.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bigstep

1.1.2

Stepwise Selection for Large Data Sets

1packages depend

5.5Kdownloads / year

96.9%test coverage

13/13checks pass

Overview

About

Maintained by Piotr SzulcFirst published 2016-10-2710 releasesCRAN page ↗GitHub ↗

Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity. Bogdan et al., (2004) doi:10.1534/genetics.103.021683.

Install

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

install.packages("bigstep", 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("pmszulc/bigstep")

Development version from pmszulc/bigstep. 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-bigstep

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-bigstep

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-bigstep

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

Health

CRAN checks

13OK

Slowest check: 2.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.73

96.9%

Coverage · measured lines

94%

Documentation · exports

8

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,259 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 94%
Documented parameters: 100%
Return-value docs: 93%
References docs: 6%

Downloads

5.5K

CRAN downloads in the past year

Rank #12,161 · ~15/day · ~462/mo

Releases R versions

Daily download trend is not available in this view yet.

21630 days

82090 days

5.5K1 year

Compare downloads with other packages →

Also on122 r2u16 autocran2.2K conda_forge

Repository

GitHub ↗ pmszulc/bigstep

2Stars

1Forks

1Open issues

0Open PRs

0Releases

31Commits

1Contributors

31 commits · Last activity 2025-03-10

Stars over time

2023-03-29 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/pmszulc/bigstep on 2026-08-16.

CRAN release process (3)

cran-comments.mdrevdep/CRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (8)

bigmemory magrittr matrixStats R.utils RcppEigen speedglmstatsutils

LinkingTo (0)

none

Suggests (4)

devtools knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

stabiliser

Code & Tests

People & History

People (1)

Maintainer (1)

Piotr Szulc

Author, Maintainer

Authors (1)

Piotr Szulc

Author, Maintainer

Package Timeline

10 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
1.1.2Latest
2025-03-10 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.1.1
2023-05-14 · diff ↗
unarchivedReturned to CRAN
2023-05-14
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2023-03-31
requires archived package 'speedglm'
1.1.0
2023-03-28 · 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
1.0.3
2019-07-26 · diff ↗
1.0.2
2019-07-18 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.0.1
2019-03-21 · diff ↗

Show 7 earlier events

1.0.0
2018-09-12 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
0.7.4
2017-04-05 · diff ↗
0.7.1
2016-12-31 · diff ↗
0.5.0
2016-10-27
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-10-27
Total releases: 10 / 10 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Download size: 54 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bigstep")

Format

Szulc, P. (2025). bigstep: Stepwise Selection for Large Data Sets (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.bigstep

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 bigstep version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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