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prais

1.1.4

Prais-Winsten Estimator for AR(1) Serial Correlation

0packages depend
15.5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Franz X. MohrFirst published 2015-03-207 releasesCRAN page ↗GitHub ↗

The Prais-Winsten estimator (Prais & Winsten, 1954) takes into account AR(1) serial correlation of the errors in a linear regression model. The procedure recursively estimates the coefficients and the error autocorrelation of the specified model until sufficient convergence of the AR(1) coefficient is attained.

Install

Health

CRAN checks
13OK
Slowest check: 56 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
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

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
89%
Return-value docs
100%
References docs
50%

Downloads

15.5K
CRAN downloads in the past year
Rank #3,696 · ~42/day · ~1.3K/mo
Daily download trend is not available in this view yet.
61130 days
2.5K90 days
15.5K1 year
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Repository

Repository
7Stars
2Forks
6Open issues
0Open PRs
0Releases
92Commits
2Contributors
prais-winsten-estimatorprais-winstencran
92 commits · Last activity 2025-06-25 · 0% stars, 30d

Stars over time

2025-02-13 · 62026-07-07 · 7

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/franzmohr/prais on 2026-08-23.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (3)
R >= 3.2.0sandwichpcse
Imports (1)
stats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer · added in 1.0.0
Authors (1)
Author, Maintainer · added in 1.0.0
Listed in earlier versions (1)
no longer listed · 0.1.1
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.4Latest
    2025-06-25 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.3
    2024-11-25 · diff ↗
  • 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
  • 1.1.2
    2021-11-01 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1.1
    2019-03-10 · diff ↗
  • 1.1.0
    2019-01-05 · diff ↗
  • 1.0.0
    2018-10-08 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
Show 4 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 0.1.1
    2015-03-20
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2015-03-20
Total releases
7 / 11 yrs
License
GPL-2 OSI
Minimum R
≥ 3.2.0
Bundled data
5.8 KB / 1 file
Download size
20 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("prais")
Mohr, F. X. (2025). prais: Prais-Winsten Estimator for AR(1) Serial Correlation (Version 1.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.prais

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for prais version 1.1.4 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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