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refitME

1.3.1

Measurement Error Modelling using MCEM

0packages depend
2.4Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Jakub StoklosaFirst published 2021-04-264 releasesCRAN page ↗

Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 doi:10.1080/01621459.1990.10474930 For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
11
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-05-02
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    9 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 44 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
60%

Downloads

2.4K
CRAN downloads in the past year
Rank #13,974 · ~7/day · ~201/mo
Daily download trend is not available in this view yet.
21230 days
74990 days
2.4K1 year
Compare downloads with other packages →
Also on114 r2u28 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.4.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author, Contributor
Author, Contributor
Contributors (2)
Author, Contributor
Author, Contributor
Listed in earlier versions (1)
no longer listed · 1.2.0
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.1Latest
    2025-04-13 · current release · diff ↗
  • 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
  • 1.2.2
    2021-08-03 · diff ↗
  • 1.2.1
    2021-06-28 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2.0
    2021-04-26
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-26
Total releases
4 / 5 yrs
License
GPL-2 OSI
Minimum R
≥ 4.4.0
Bundled data
795 KB / 4 files
Download size
1.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("refitME")
Stoklosa, J., Hwang, W., & Warton, D. (2025). refitME: Measurement Error Modelling using MCEM (Version 1.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.refitME

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 refitME version 1.3.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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