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DESCRIPTION
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DESCRIPTION
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Package: crmPack
Title: Object-Oriented Implementation of CRM Designs
Authors@R: c(
person("Daniel", "Sabanes Bove", email = "daniel.sabanesbove@gmx.net", role = c("aut", "cre")),
person("Wai", "Yin Yeung", email = "winnie.yeung@roche.com", role = "aut"),
person("Giuseppe", "Palermo", email = "giuseppe.palermo@roche.com", role = "aut"),
person("Thomas", "Jaki", email = "jaki.thomas@gmail.com", role = "aut"),
person("Jiawen", "Zhu", email = "zhu.jiawen@gene.com", role = "aut"),
person("Ziwei", "Liao", email = "ziwei.liao.fdu@gmail.com", role = "aut"),
person("Dimitris", "Kontos", email = "dimitris.kontos@clinbay.com", role = "aut")
)
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: 1.0.9000
License: GPL (>= 2)
URL: https://github.com/roche/crmPack
BugReports: https://github.com/roche/crmPack/issues
Depends:
ggplot2 (>= 2.0.0),
graphics,
R (>= 3.0.0)
Imports:
futile.logger,
checkmate,
lifecycle,
GenSA,
grid,
gridExtra,
MASS,
methods,
mvtnorm,
parallel,
rjags,
survival,
tools,
utils
Suggests:
testthat (>= 3.0.0),
ggmcmc,
knitr,
Rcpp,
RcppArmadillo,
vdiffr
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Encoding: UTF-8
VignetteBuilder:
knitr
Copyright: F. Hoffmann-La Roche Ltd, except Google LLC for contributions by
Daniel Sabanes Bove between 6 August 2018 and 31 May 2020.
Language: en-US
LazyLoad: yes
Collate:
'Data-validity.R'
'helpers.R'
'Data-class.R'
'Data-methods.R'
'Rules-validity.R'
'Rules-class.R'
'Model-validity.R'
'helpers_jags.R'
'Model-class.R'
'Design-class.R'
'McmcOptions-validity.R'
'McmcOptions-class.R'
'McmcOptions-methods.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'
'ZZ_IncrementsHSRBeta_DK.R'
'ZZ_LogisticKadane2_DK.R'
'ZZ_NextBestMTDCRM_DK.R'
'ZZ_StoppingLowestDoseHSRBeta_DK.R'
'ZZ_StoppingTargetProbPatientsNearHighestDose_DK.R'
'ZZ_StoppingTargetProbPatientsNearLowestDose_DK.R'
'ZZ_crmPack-package_DK.R'
'crmPack-package.R'
'logger.R'
'utils.R'
'x-source-bayer.R'
'x_new_IncrementsHSRbeta.R'
'x_new_StoppingLowestDoseHSRbeta.R'
'y_bay_design_1GeneralSimulationsBay_summary.R'
'y_bay_design_2GeneralSimulationsBay_show.R'
'y_bay_design_3SimulationsBay_summary.R'
'y_bay_design_BayDesign.R'
'y_bay_design_BayDesign_examine.R'
'y_bay_design_BayDesign_simulate.R'
'y_bay_model_LogisticKadaneBayer.R'
'y_bay_model_OneParExp.R'
'y_bay_model_TwoPar.R'
'y_bay_model_TwoParBayS.R'
'y_bay_myfunction-outdated.R'
'y_bay_myfunction.R'
'y_bay_myfunction2.R'
'y_bay_myproposal.R'
'y_bay_rules_IncrementsAbsoluteMax.R'
'y_bay_rules_IncrementsRelativeDLTmax.R'
'y_bay_rules_IncrementsRelativeMax.R'
'y_bay_rules_IncrementsSafetyStop.R'
'y_bay_rules_IncrementsSafetyStopFix.R'
'y_bay_rules_NextBestMTDprob.R'
'y_bay_rules_NextBestMinDist.R'
'y_bay_rules_StoppingHardFirst.R'
'y_bay_rules_StoppingHardFirstFix.R'
'y_bay_rules_StoppingMTDdistributionBay.R'
'y_bay_rules_StoppingPatientsNearDose2.R'
'y_bay_rules_StoppingProbBay.R'
Config/testthat/edition: 3