{ "_id": "6adb6e5458000136b5c82a51", "Package": "progme", "Type": "Package", "Title": "Extended Progression Models for Repeated Measures", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Mukul\", \"Bijalwan\", email = \"mukulbijalwan555@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0001-3040-6912\")),\nperson(\"Gunjan\", \"Aggrwal\", role = \"aut\"),\nperson(\"Mukul\", \"Jain\", role = \"aut\"))", "Description": "Extended progression models for repeated measures in\nprogressive disease clinical trials. Provides nonlinear\nmixed-effects progression models (linear, plateau, Emax,\nexponential decay), delayed treatment onset estimation by\nprofile likelihood, joint longitudinal-survival models for\ninformative dropout, competing-risks extensions,\nbiomarker-informed adaptive dosing rules, and simulation-based\npower and sample-size calculation. The progression-model view\nof treatment effects, in which effects are characterised on the\nunderlying disease trajectory rather than as additive shifts on\nthe outcome scale, follows Raket (2022) .\nThe nonlinear mixed-effects machinery is built on the 'nlme'\nimplementation described by Pinheiro and Bates (2000, ISBN\n978-0-387-98957-0), and the joint modelling of longitudinal and\ntime-to-event data follows Rizopoulos (2012, ISBN\n978-1-4398-7286-4).", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://github.com/MukulBijalwan/progme", "BugReports": "https://github.com/MukulBijalwan/progme/issues", "Config/roxygen2/version": "8.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-23 13:55:51 UTC", "User": "root" }, "Author": "Mukul Bijalwan [aut, cre] (ORCID:\n), Gunjan Aggrwal [aut],\nMukul Jain [aut]", "Maintainer": "Mukul Bijalwan ", "Repository": 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