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.

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("OncoBayes2")

0.6-5 by Sebastian Weber, a year ago

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 assertthat, checkmate, Formula, rstan, rstantools, bayesplot, ggplot2, dplyr, tibble, tidyr, abind

Depends on Rcpp, methods

Suggests rmarkdown, knitr, testthat, mvtnorm

Linking to StanHeaders, rstan, BH, Rcpp, RcppEigen

System requirements: GNU make, pandoc (>= 1.12.3), pandoc-citeproc

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug