Package: crmPack
Maintainer: Daniel Sabanes Bove <sabanesd@roche.com>
License: GPL (>= 2)
Title: Object-Oriented Implementation of CRM Designs
LazyLoad: yes
Author: 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>
Description: 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.
Version: 0.1.6
Date: 2015-11-09
Copyright: F. Hoffmann-La Roche Ltd
Depends: R (>= 3.0.0), ggplot2, graphics
Imports: methods, grid, gridExtra, GenSA, mvtnorm, parallel,
        BayesLogit, rjags, utils, tools, MASS
Suggests: ggmcmc, R2WinBUGS, Rcpp, RcppArmadillo
Collate: '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'
NeedsCompilation: no
Packaged: 2015-12-22 14:36:42 UTC; sabanesd
Repository: CRAN
Date/Publication: 2015-12-22 20:50:50
