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pmrm

0.0.4

Progression Models for Repeated Measures

0packages depend
3.2Kdownloads / year
100.0%test coverage
13/13checks pass

Overview

About
Maintained by William Michael LandauFirst published 2026-01-303 releasesCRAN page ↗GitHub ↗

A progression model for repeated measures (PMRM) is a continuous-time nonlinear mixed-effects model for longitudinal clinical trials in progressive diseases. Unlike mixed models for repeated measures (MMRMs), which estimate treatment effects as linear combinations of additive effects on the outcome scale, PMRMs characterize treatment effects in terms of the underlying disease trajectory. This framing yields clinically interpretable quantities such as average time saved and percent reduction in decline due to treatment. This package implements frequentist PMRMs by Raket (2022) doi:10.1002/sim.9581 using 'RTMB' by Kristensen (2016) doi:10.18637/jss.v070.i05.

Install

Health

CRAN checks
13OK
Slowest check: 6.3 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.70
100.0%
Coverage · measured lines
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-22
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 366 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
74%
Return-value docs
91%
References docs
0%

Downloads

3.2K
CRAN downloads in the past year
Rank #8,852 · ~9/day · ~265/mo
Daily download trend is not available in this view yet.
16730 days
1K90 days
3.2K1 year
Compare downloads with other packages →
Also on60 r2u21 autocran

Repository

Repository
6Stars
2Forks
3Open issues
0Open PRs
4Releases
69Commits
1Contributors
disease-progression-modelmmrmrrtmbtmbadcomppmrm
69 commits · Last activity 2026-04-03 · 0% stars, 30d

Stars over time

2026-01-22 · 12026-07-07 · 6

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/openpharma/pmrm on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Copyright holders (1)
Copyright holder, Funder
Funders (1)
Copyright holder, Funder
Listed in earlier versions (2)
no longer listed · 0.0.2 to 0.0.4
no longer listed · 0.0.2 to 0.0.4
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.4Latest
    2026-04-04 · current release · diff ↗
  • 0.0.3
    2026-03-13 · diff ↗
  • 0.0.2
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-30
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
1.7 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pmrm")
Landau, W. M., Eli Lilly and Company, , Kristensen, K., & Raket, L. L. (2026). pmrm: Progression Models for Repeated Measures (Version 0.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.pmrm

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 pmrm version 0.0.4 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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