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cff-version: 1.2.0
message: 'To cite package "OncoBayes2" in publications use:'
type: software
title: 'OncoBayes2: Bayesian Logistic Regression for Oncology Dose-Escalation Trials'
version: 0.9-4
doi: 10.32614/CRAN.package.OncoBayes2
abstract: 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) <https://doi.org/10.1002/sim.3230> and Neuenschwander
  et al. (2016) <https://doi.org/10.1080/19466315.2016.1174149> for details on the
  methodology.
authors:
- family-names: Weber
  given-names: Sebastian
  email: sebastian.weber@novartis.com
- family-names: Widmer
  given-names: Lukas A.
  email: lukas_andreas.widmer@novartis.com
- family-names: Bean
  given-names: Andrew
  email: andrew.bean@novartis.com
repository: https://novartis.r-universe.dev
repository-code: https://github.com/Novartis/OncoBayes2
commit: 0b8809c6aa7b363c16ff404615fe9108f5d41039
url: https://opensource.nibr.com/OncoBayes2/
date-released: '2025-12-17'
contact:
- family-names: Weber
  given-names: Sebastian
  email: sebastian.weber@novartis.com