oncomsm: Bayesian Multi-State Models for Early Oncology (original) (raw)
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 |
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