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