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cff-version: 1.2.0
message: 'To cite package "progme" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'progme: Extended Progression Models for Repeated Measures'
version: 0.1.0
doi: 10.32614/CRAN.package.progme
abstract: 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) <https://doi.org/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).
authors:
- family-names: Bijalwan
  given-names: Mukul
  email: mukulbijalwan555@gmail.com
  orcid: https://orcid.org/0009-0001-3040-6912
- family-names: Aggrwal
  given-names: Gunjan
- family-names: Jain
  given-names: Mukul
repository: https://mukulbijalwan.r-universe.dev
repository-code: https://github.com/MukulBijalwan/progme
commit: 75ba93ebdccb5e03957c219c82d920ec4d1c14d1
url: https://github.com/MukulBijalwan/progme
date-released: '2026-10-22'
contact:
- family-names: Bijalwan
  given-names: Mukul
  email: mukulbijalwan555@gmail.com
  orcid: https://orcid.org/0009-0001-3040-6912