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lineartestr

1.0.0Package record

Linear Specification Testing

0packages depend
2.6Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Tests whether the linear hypothesis of a model is correct specified using Dominguez-Lobato test. Also Ramsey's RESET (Regression Equation Specification Error Test) test is implemented and Wald tests can be carried out. Although RESET test is widely used to test the linear hypothesis of a model, Dominguez and Lobato (2019) proposed a novel approach that generalizes well known specification tests such as Ramsey's. This test relies on wild-bootstrap; this package implements this approach to be usable with any function that fits linear models and is compatible with the update() function such as 'stats'::lm(), 'lfe'::felm() and 'forecast'::Arima(), for ARMA (autoregressive–moving-average) models. Also the package can handle custom statistics such as Cramer von Mises and Kolmogorov Smirnov, described by the authors, and custom distributions such as Mammen (discrete and continuous) and Rademacher. Manuel A. Dominguez & Ignacio N. Lobato (2019) doi:10.1080/07474938.2019.1687116.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 158 wordsVignettesNoNEWSNoCitation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
100%11 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
9%

Downloads

2.6K
CRAN downloads in the past year
Rank #18,427 · ~7/day · ~214/mo
Daily download trend is not available in this view yet.
27530 days
69990 days
2.6K1 year
Compare downloads with other packages →
Also on69 r2u4 autocran

Repository

Moved from federicogarza/lineartestr.

1Stars
0Forks
0Open issues
0Open PRs
1Releases
111Commits
1Commit identities
linear-specificationlinear-regressiondominguez-lobato-testr-packagewild-bootstraplobatoreset-test
License file reads as GPL-2.0 · 111 commits · Last activity 2021-01-24
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
12
Median days to close, 50 most recently updated closed PRs
2

Stars over time

2022-10-06 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/federicogarza/lineartestr on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (1)

The repository owner accepts GitHub Sponsors

Docs source (1)
README.Rmd
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing lineartestr adds 51 packages (28 with compiled code, 42 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, viridis 2.9 MB.

Depends (1)
R > 3.2
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0.0 (2020)
Releases (1)
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0Latest
    2020-06-12 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-12
Total releases
1 / 6 yrs
License
GPL (>= 2) OSI
Download size
63 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lineartestr")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 lineartestr version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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