progme: Extended Progression Models for Repeated Measures

Extended progression models for repeated measures in progressive disease clinical trials. Provides nonlinear mixed-effects progression models (linear, plateau, Emax, exponential decay), delayed treatment onset estimation by profile likelihood, joint longitudinal-survival models for informative dropout, competing-risks extensions, biomarker-informed adaptive dosing rules, and simulation-based power and sample-size calculation. The progression-model view of treatment effects, in which effects are characterised on the underlying disease trajectory rather than as additive shifts on the outcome scale, follows Raket (2022) <doi:10.1002/sim.9581>. The nonlinear mixed-effects machinery is built on the 'nlme' implementation described by Pinheiro and Bates (2000, ISBN 978-0-387-98957-0), and the joint modelling of longitudinal and time-to-event data follows Rizopoulos (2012, ISBN 978-1-4398-7286-4).

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: nlme, survival, ggplot2, stats, graphics, utils
Suggests: rstan, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-10-22
DOI: 10.32614/CRAN.package.progme (may not be active yet)
Author: Mukul Bijalwan ORCID iD [aut, cre], Gunjan Aggrwal [aut], Mukul Jain [aut]
Maintainer: Mukul Bijalwan <mukulbijalwan555 at gmail.com>
BugReports: https://github.com/MukulBijalwan/progme/issues
License: GPL (≥ 3)
URL: https://github.com/MukulBijalwan/progme
NeedsCompilation: no
Materials: README
CRAN checks: progme results

Documentation:

Reference manual: progme.html , progme.pdf
Vignettes: Alzheimer's Trial (source, R code)
Informative Dropout (source, R code)
Sample Size Simulation (source, R code)

Downloads:

Package source: progme_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): progme_0.1.0.tgz, r-oldrel (arm64): progme_0.1.0.tgz, r-release (x86_64): progme_0.1.0.tgz, r-oldrel (x86_64): progme_0.1.0.tgz

Linking:

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