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) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.

Version: 0.6-5
Depends: R (≥ 3.4.0), Rcpp (≥ 0.12.0), methods
Imports: assertthat (≥ 0.2.1), checkmate, Formula, rstan (≥ 2.19.3), rstantools (≥ 2.0.0), bayesplot (≥ 1.4.0), ggplot2 (≥ 2.2.1), dplyr (≥ 0.8.0), tibble, tidyr (≥ 1.0.0), abind
LinkingTo: StanHeaders (≥ 2.19.2), rstan (≥ 2.19.3), BH (≥ 1.72.0), Rcpp (≥ 0.12.0), RcppEigen (≥
Suggests: rmarkdown, knitr, testthat (≥ 2.0.0), mvtnorm
Published: 2020-05-07
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), pandoc-citeproc
Materials: NEWS
CRAN checks: OncoBayes2 results


Reference manual: OncoBayes2.pdf
Vignettes: Guiding Oncology Dose-Escalation Trials
Package source: OncoBayes2_0.6-5.tar.gz
Windows binaries: r-devel: OncoBayes2_0.6-5.zip, r-release: OncoBayes2_0.6-5.zip, r-oldrel: OncoBayes2_0.6-5.zip
macOS binaries: r-release: OncoBayes2_0.6-5.tgz, r-oldrel: OncoBayes2_0.6-5.tgz
Old sources: OncoBayes2 archive


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