psm3mkv: Evaluate Partitioned Survival and State Transition Models (original) (raw)

Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy.

Version: 0.3.2
Depends: R (≥ 4.1.0)
Imports: admiral, dplyr, flexsurv, ggplot2, pharmaverseadam, purrr, rlang, SimplicialCubature, stats, survival, stringr, tibble, tidyr
Suggests: boot, covr, ggsci, HMDHFDplus, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-06-07
DOI: 10.32614/CRAN.package.psm3mkv
Author: Dominic Muston ORCID iD [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
Maintainer: Dominic Muston <dominic.muston at merck.com>
BugReports: https://github.com/Merck/psm3mkv/issues
License: GPL (≥ 3)
URL: https://merck.github.io/psm3mkv/, https://github.com/Merck/psm3mkv
NeedsCompilation: no
Citation: psm3mkv citation info
Materials: README NEWS
CRAN checks: psm3mkv results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=psm3mkvto link to this page.