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pmrm  

Progression Models for Repeated Measures
View on CRAN: Click here


Download and install pmrm package within the R console
Install from CRAN:
install.packages("pmrm")

Install from Github:
library("remotes")
install_github("cran/pmrm")

Install by package version:
library("remotes")
install_version("pmrm", "0.0.2")



Attach the package and use:
library("pmrm")
Maintained by
William Michael Landau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-30
Latest Update: 2026-01-30
Description:
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>.
How to cite:
William Michael Landau (2026). pmrm: Progression Models for Repeated Measures. R package version 0.0.2, https://cran.r-project.org/web/packages/pmrm. Accessed 13 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:42), 0.0.2 (2026-01-30 11:50), 0.0.3 (2026-03-12 16:50)
Other packages that cited pmrm R package
View pmrm citation profile
Other R packages that pmrm depends, imports, suggests or enhances
Complete documentation for pmrm
Functions, R codes and Examples using the pmrm R package
Full pmrm package functions and examples
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