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statgenMPP

1.0.5Package record

QTL Mapping for Multi Parent Populations

0packages depend
3.8Kdownloads / year
92.0%test coverage
13/13flavors OK

Overview

About

For Multi Parent Populations (MPP) Identity By Descend (IBD) probabilities are computed using Hidden Markov Models. These probabilities are then used in a mixed model approach for QTL Mapping as described in Li et al. (doi:10.1007/s00122-021-03919-7).

Changes in 1.0.5
  • No user visible changes.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-20
Show 4 earlier changesHide 4 earlier changes
  • WARNING12 OK, 1 WARNING2026-05-19
  • OK14 OK2026-04-10
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.5
READMEYes · 254 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.5Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
20 (6 internal)includes a package overview page
Examples that run
63%5 run in a plain check · 3 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
10%

Downloads

3.8K
CRAN downloads in the past year
Rank #8,184 · ~11/day · ~319/mo
Daily download trend is not available in this view yet.
38630 days
1.1K90 days
3.8K1 year
Compare downloads with other packages →
Also on109 r2u4 autocran126 c2d4u

Repository

1Stars
1Forks
1Open issues
0Open PRs
1Releases
292Commits
3Commit identities
crangeneticsqtl-mappingr-packagempp
292 commits · Last activity 2026-05-18
Responsiveness
How these are sampled
PRs merged (all time)
0%
Median days to close, 50 most recently updated closed issues
43
Median days to close, 50 most recently updated closed PRs
2

Stars over time

2025-05-26 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/biometris/statgenmpp on 2026-10-18.

Continuous integration (3)
GitHub ActionsR CMD check workflowGitLab CI

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

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-05-18 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing statgenMPP adds 37 packages (18 with compiled code, 55 MB of source tarballs). Heaviest: stringi 11 MB, LMMsolver 7.1 MB, ggplot2 6.0 MB.

Depends (2)
R >= 3.6statgenGWAS
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0.0 (2022)
Author
Contributor
Releases (7)

Pick two releases to compare their code metrics.

  • 1.0.5Latest
    record
    2026-05-18 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.4
    record
    2025-02-11 · diff ↗
  • 1.0.3
    record
    2024-10-29 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.2
    record
    2022-12-02 · diff ↗
  • 1.0.1.1
    record
    2022-08-24 · diff ↗
  • 1.0.1
    record
    2022-08-22 · diff ↗ ·
    removed 1 export
    readRABBIT
    added 3 exports
    createGDataMPP, kinshipIBD, readRABBITMPP
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    record
    2022-03-21
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-03-21
Total releases
7 / 4 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.6
Bundled data
146 KB / 4 files
Download size
2.7 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("statgenMPP")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btac662.

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 statgenMPP version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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