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linreg

0.1.0Package record

Linear Regression and Model Selection Framework

0packages depend
106.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides a comprehensive framework for linear regression modeling and associated statistical analysis. The package implements methods for correlation analysis, including computation of correlation matrices with corresponding significance levels and visualization via correlation heatmaps. It supports estimation of multiple linear regression models, along with automated model selection through backward elimination procedures based on statistical significance criteria. In addition, the package offers a suite of diagnostic tools to assess key assumptions of linear regression, including multicollinearity using variance inflation factors, heteroscedasticity using the Goldfeld-Quandt test, and normality of residuals using the Shapiro-Wilk test. These functionalities, as described in Draper and Smith (1998) doi:10.1002/9781118625590, are designed to facilitate robust model building, evaluation, and interpretation in applied statistical and data analytical contexts.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK3 OK2026-04-17
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%1 run in a plain check
Exported functions with examples
33%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

106.3K
CRAN downloads in the past year
Rank #1,092 · ~291/day · ~8.9K/mo
Daily download trend is not available in this view yet.
1.1K30 days
34K90 days
106.3K1 year
Compare downloads with other packages →
Also on36 r2u2 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing linreg adds 89 packages (47 with compiled code, 83 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)
none
Imports (5)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-04-16 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-16
Total releases
1 / 1 yrs
License
GPL-3 OSI
Download size
4.9 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("linreg")
Pandit, D. P., Ghose, D. B., & Mazumder, D. C. (2026). linreg: Linear Regression and Model Selection Framework (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.linreg

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for linreg version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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