Bayesian Logistic Regression for Oncology Dose-Escalation Trials R package OncoBayes2 version 0.9-4 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) 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. Software 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 Sebastian Weber <sebastian.weber@novartis.com> Comprehensive R Archive Network (CRAN) 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) GPL (>= 3) 2025-12-18 application/tgz https://CRAN.R-project.org/package=OncoBayes2 doi:10.32614/CRAN.package.OncoBayes2