OncoBayes2

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

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) and Neuenschwander et al. (2016) for details on the methodology.

Reference manual

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install.packages("OncoBayes2")

0.10-0 by Sebastian Weber, 2 months ago

https://opensource.nibr.com/OncoBayes2/

Report a bug at https://github.com/Novartis/OncoBayes2/issues

Browse source code at https://github.com/cran/OncoBayes2

Authors: 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)

Documentation:   PDF Manual  

GPL (>= 3) license

Imports methods, Rcpp, RcppParallel, rstan, rstantools, posterior, assertthat, checkmate, Formula, bayesplot, dplyr, tibble, tidyr, abind, rlang, tidyselect, utils, stats, matrixStats, lifecycle, grDevices, Rdpack

Depends on RBesT

Suggests rmarkdown, knitr, testthat, withr, mvtnorm, vdiffr, cmdstanr, ggplot2, scales, ragg

Linking to BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders

System requirements: GNU make, pandoc (>= 1.12.3), pngquant, C++17

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