Object-Oriented Implementation of CRM Designs
Daniel Sabanes Bove <sabanesd@roche.com>,
Wai Yin Yeung <w.yeung1@lancaster.ac.uk>,
Giuseppe Palermo <giuseppe.palermo@roche.com>,
Thomas Jaki <jaki.thomas@gmail.com>
Implements a wide range of model-based dose
escalation designs, ranging from classical and modern continual
reassessment methods (CRMs) based on dose-limiting toxicity endpoints to
dual-endpoint designs taking into account a biomarker/efficacy outcome. The
focus is on Bayesian inference, making it very easy to setup a new design
with its own JAGS code. However, it is also possible to implement 3+3
designs for comparison or models with non-Bayesian estimation. The whole
package is written in a modular form in the S4 class system, making it very
flexible for adaptation to new models, escalation or stopping rules.
methods, grid, gridExtra, GenSA, mvtnorm, parallel,
BayesLogit, rjags, utils, tools, MASS
'helpers.R' 'Data-class.R' 'Data-methods.R' 'Rules-class.R'
'Model-class.R' 'Design-class.R' 'writeModel.R'
'McmcOptions-methods.R' 'McmcOptions-class.R' 'Samples-class.R'
'mcmc.R' 'Simulations-class.R' 'Model-methods.R'
'Rules-methods.R' 'Design-methods.R' 'fromQuantiles.R'
'Samples-methods.R' 'Simulations-methods.R' 'crmPack-package.R'

Daniel Sabanes Bove <sabanesd@roche.com>,
Wai Yin Yeung <winnie.yeung@roche.com>,
Giuseppe Palermo <giuseppe.palermo@roche.com>,
Thomas Jaki <jaki.thomas@gmail.com>

methods, grid, gridExtra, GenSA, mvtnorm, parallel, rjags,
utils, tools, MASS

c(
person("Daniel", "Sabanes Bove", email = "daniel.sabanesbove@gmx.net", role = c("aut")),
person("Wai", "Yin Yeung", email = "winnie.yeung@roche.com", role = c("aut")),
person("Giuseppe", "Palermo", email = "giuseppe.palermo@roche.com", role = c("aut", "cre")),
person("Thomas", "Jaki", email = "jaki.thomas@gmail.com", role = c("aut")))
Daniel Sabanes Bove [aut],
Wai Yin Yeung [aut],
Giuseppe Palermo [aut, cre],
Thomas Jaki [aut]

F. Hoffmann-La Roche Ltd, except Google LLC for
contributions by Daniel Sabanes Bove after 6 August 2018