OncoBayes2: Bayesian Logistic Regression for Oncology Dose-Escalation Trials (original) (raw)
Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
| Version: | 0.9-3 |
|---|---|
| Depends: | R (≥ 3.5.0), RBesT (≥ 1.8-0) |
| Imports: | methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.32.0), rstantools (≥ 2.4.0), posterior (≥ 1.5.0), assertthat (≥ 0.2.1), checkmate, Formula, bayesplot (≥ 1.4.0), ggplot2 (≥ 3.0.0), dplyr (≥ 1.1.0), tibble, tidyr (≥ 1.0.0), abind, scales, rlang (≥ 0.3.0), tidyselect, utils, stats, matrixStats, brms, lifecycle, grDevices |
| LinkingTo: | BH (≥ 1.75.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.32.0), StanHeaders (≥ 2.32.0) |
| Suggests: | rmarkdown, knitr, testthat (≥ 2.0.0), withr, mvtnorm, vdiffr, cmdstanr (≥ 0.4.0), ragg |
| Published: | 2025-04-25 |
| DOI: | 10.32614/CRAN.package.OncoBayes2 |
| Author: | Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win) |
| Maintainer: | Sebastian Weber <sebastian.weber at novartis.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make, pandoc (>= 1.12.3), pngquant, C++17 |
| Additional_repositories: | https://mc-stan.org/r-packages/ |
| Materials: | NEWS |
| CRAN checks: | OncoBayes2 results |
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