oncomsm: Bayesian Multi-State Models for Early Oncology

Implements methods to fit a parametric Bayesian multi-state model to tumor response data. The model can be used to sample from the predictive distribution to impute missing data and calculate probability of success for custom decision criteria in early clinical trials during an ongoing trial. The inference is implemented using 'stan'.

Version:	0.1.4
Depends:	R (≥ 3.6)
Imports:	methods, Rcpp, RcppNumerical (≥ 0.4), rstan (≥ 2.18), rlang (≥ 0.4), magrittr, tibble, dplyr, tidyr, purrr, furrr, stringr, ggplot2, checkmate, rstantools
LinkingTo:	BH (≥ 1.66.0), Rcpp, RcppEigen (≥ 0.3), RcppNumerical (≥ 0.4), rstan (≥ 2.18), StanHeaders (≥ 2.18), RcppParallel
Suggests:	rmarkdown, knitr, testthat (≥ 3.0.0), patchwork, bhmbasket, vdiffr, DiagrammeR, future, doFuture, doRNG, rjags
Published:	2023-04-17
DOI:	10.32614/CRAN.package.oncomsm
Author:	Kevin Kunzmann [aut, cre], Karthik Ananthakrishnan [ctb], Boehringer Ingelheim Ltd. [cph, fnd]
Maintainer:	Kevin Kunzmann <kevin.kunzmann at boehringer-ingelheim.com>
BugReports:	https://github.com/Boehringer-Ingelheim/oncomsm/issues
License:	Apache License 2.0
URL:	https://boehringer-ingelheim.github.io/oncomsm/, https://github.com/Boehringer-Ingelheim/oncomsm
NeedsCompilation:	yes
SystemRequirements:	GNU make
Language:	en-US
Materials:	NEWS
CRAN checks:	oncomsm results

Documentation:

Reference manual:	oncomsm.pdf
Vignettes:	avoiding-bias oncomsm prior-choice

Downloads:

Package source:	oncomsm_0.1.4.tar.gz
Windows binaries:	r-devel: oncomsm_0.1.4.zip, r-release: oncomsm_0.1.4.zip, r-oldrel: oncomsm_0.1.4.zip
macOS binaries:	r-release (arm64): oncomsm_0.1.4.tgz, r-oldrel (arm64): oncomsm_0.1.4.tgz, r-release (x86_64): oncomsm_0.1.4.tgz, r-oldrel (x86_64): oncomsm_0.1.4.tgz
Old sources:	oncomsm archive

Linking:

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