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Inference for Linear Models with Nuisance Parameters

0packages depend
3Kdownloads / year
62.7%test coverage
13/13flavors OK

Overview

About

Efficient Frequentist profiling and Bayesian marginalization of parameters for which the conditional likelihood is that of a multivariate linear regression model. Arbitrary inter-observation error correlations are supported, with optimized calculations provided for independent-heteroskedastic and stationary dependence structures.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.3
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 1.1.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
8includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
86%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
0%

Downloads

3K
CRAN downloads in the past year
Rank #17,436 · ~8/day · ~250/mo
Daily download trend is not available in this view yet.
29630 days
73090 days
3K1 year
Compare downloads with other packages →
Also on342 r2u3 autocran

Repository

1Stars
1Forks
0Open issues
0Open PRs
0Releases
40Commits
2Commit identities
License file reads as GPL-3.0 · 40 commits · Last activity 2022-02-25 · The default branch showed an older version (1.1.2) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2022-03-01 · 12026-07-07 · 1
PracticesBeta

Checks run against github.com/mlysy/lmn on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing LMN adds 5 packages (4 with compiled code, 3.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, SuperGauss 299 KB.

Depends (0)
none
Imports (3)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.1.1 (2022)
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
  • 1.1.3Latest
    record
    2022-08-22 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.2
    record
    2022-02-28 · diff ↗
  • 1.1.1
    record
    2022-02-15
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-02-15
Total releases
3 / 4 yrs
License
GPL-3 OSI
Download size
203 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LMN")
Lysy, M., & Yates, B. (2022). LMN: Inference for Linear Models with Nuisance Parameters (Version 1.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.LMN

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 LMN version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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