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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=oncomsm to link to this page.
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