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Probabilistic Two Sample Mendelian Randomization

0packages depend
2.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Efficient statistical inference of two-sample MR (Mendelian Randomization) analysis. It can account for the correlated instruments and the horizontal pleiotropy, and can provide the accurate estimates of both causal effect and horizontal pleiotropy effect as well as the two corresponding p-values. There are two main functions in the 'PPMR' package. One is PMR_individual() for individual level data, the other is PMR_summary() for summary data.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMEYes · 151 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.3K
CRAN downloads in the past year
Rank #22,773 · ~6/day · ~195/mo
Daily download trend is not available in this view yet.
22230 days
57690 days
2.3K1 year
Compare downloads with other packages →
Also on348 r2u1 autocran

Repository

2Stars
0Forks
1Open issues
0Open PRs
0Releases
15Commits
1Commit identities
15 commits · Last activity 2019-08-08 · The default branch showed an older version (1.0) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
50%
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

2022-05-22 · 22026-07-07 · 2
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/umich-biostatistics/ppmr on 2026-10-18.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing PPMR adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 3.5.0
Imports (1)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer since 1.0 (2019)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    record
    2025-09-17 · 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
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0
    record
    2019-08-09
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-09
Total releases
2 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
62 KB / 2 files
Download size
71 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PPMR")
Kleinsasser, M., Yuan, Z., & Zhou, X. (2025). PPMR: Probabilistic Two Sample Mendelian Randomization (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.PPMR

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 PPMR version 1.0.1 [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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