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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 |
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 |
Reference manual: | oncomsm.pdf |
Vignettes: |
avoiding-bias oncomsm prior-choice |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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