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Stationary Linear Models

0packages depend
2.7Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Provides statistical procedures for linear regression in the general context where the errors are assumed to be correlated. Different ways to estimate the asymptotic covariance matrix of the least squares estimators are available. Starting from this estimation of the covariance matrix, the confidence intervals and the usual tests on the parameters are modified. The functions of this package are very similar to those of 'lm': it contains methods such as summary(), plot(), confint() and predict(). The 'slm' package is described in the paper by E. Caron, J. Dedecker and B. Michel (2019), "Linear regression with stationary errors: the R package slm", arXiv preprint arXiv:1906.06583.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Emmanuel Caron <emmanuelcaron3@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Emmanuel",
                      family = "Caron",
                      role = c("aut", "cre"),
                      email = "emmanuelcaron3@gmail.com"),
               person(given = "Jérôme",
                      family = "Dedecker",
                      role = "aut"),
               person(given = "Bertrand",
                      family = "Michel",
                      role = "aut"))
as necessary.

The Description field contains
  <arXiv:1906.06583>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
22includes a package overview page
Examples that run
100%17 run in a plain check
Exported functions with examples
86%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
73%

Downloads

2.7K
CRAN downloads in the past year
Rank #16,528 · ~7/day · ~222/mo
Daily download trend is not available in this view yet.
23230 days
76590 days
2.7K1 year
Compare downloads with other packages →
Also on66 r2u3 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing slm adds 5 packages (3 with compiled code, 2.5 MB of source tarballs). Heaviest: sandwich 1.4 MB, zoo 675 KB, ltsa 304 KB.

Depends (1)
R >= 2.10
Imports (6)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (3)

Maintainer since 1.0.0 (2019)

Releases (3)

Pick two releases to compare their code metrics.

  • 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
  • 1.2.0Latest
    record
    2020-08-31 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.1.0
    record
    2019-10-24 · diff ↗
  • 1.0.0
    record
    2019-07-23
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-07-23
Total releases
3 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
36 KB / 1 file
Download size
61 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("slm")

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 slm version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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