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Package: crmPack
Title: Object-Oriented Implementation of Dose Escalation Designs
Version: 2.1.0.9000
Authors@R: c(
person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@rconis.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-0176-9239")),
person("Wai", "Yin Yeung", , "winnie.yeung@roche.com", role = "aut"),
person("Burak Kuersad", "Guenhan", , "burakgunhan@gmail.com", role = "aut"),
person("Giuseppe", "Palermo", , "giuseppe.palermo@roche.com", role = "aut"),
person("Thomas", "Jaki", , "jaki.thomas@gmail.com", role = "aut"),
person("Jiawen", "Zhu", , "zhu.jiawen@gene.com", role = "aut"),
person("Ziwei", "Liao", , "ziwei.liao.fdu@gmail.com", role = "aut"),
person("Dimitris", "Kontos", , "dimitris.kontos@bayer.com", role = "aut"),
person("Marlene", "Schulte-Goebel", , "marlene.schulte-goebel@merckgroup.com", role = "aut"),
person("Doug", "Kelkhoff", , "doug.kelkhoff@gmail.com", role = "aut",
comment = c(ORCID = "0009-0003-7845-4061")),
person("Oliver", "Boix", , "oliver.boix@bayer.com", role = "aut"),
person("Robert", "Adams", , "robert.adams@bayer.com", role = "aut"),
person("Clara", "Beck", , "clara.beck@bayer.com", role = "aut"),
person("John", "Kirkpatrick", , "john@puzzledface.net", role = "aut"),
person("Wojciech", "Wójciak", , "wojciech.wojciak@gmail.com", role = "aut"),
person("Guanya", "Peng", , role = "aut"),
person("Prerana", "Chandratre", , role = "aut"),
person("F. Hoffmann-La Roche AG", role = c("cph", "fnd")),
person("Merck Healthcare KGaA", role = c("cph", "fnd")),
person("Bayer AG", role = c("cph", "fnd")),
person("RPACT GmbH", role = c("cph", "fnd"))
)
Description: Implements a wide range of dose escalation
designs. The focus is on model-based 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. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy
to setup a new design with custom 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.
Further details are presented in
Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.
License: GPL (>= 2)
URL: https://docs.crmpack.org/
BugReports: https://github.com/openpharma/crmPack/issues
Depends:
ggplot2 (>= 3.0.0),
graphics,
R (>= 4.1.0)
Imports:
checkmate (>= 2.2.0),
dplyr,
futile.logger,
GenSA,
gridExtra,
kableExtra,
knitr,
lifecycle,
magrittr,
methods,
mvtnorm,
parallel,
parallelly,
Rdpack,
rjags,
rlang,
survival,
tibble,
tidyselect (>= 1.2.0),
tools,
utils
Suggests:
bookdown,
broom,
covr,
data.tree,
decider,
DiagrammeR,
ggmcmc,
quarto (>= 1.4),
rmarkdown,
stringr,
testthat (>= 3.0.0),
tidyr,
vdiffr,
withr
VignetteBuilder:
knitr,
quarto
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyLoad: yes
Roxygen: list(markdown = TRUE)
RdMacros: Rdpack
Collate:
'Backfill-validity.R'
'CrmPackClass-class.R'
'Rules-validity.R'
'helpers.R'
'Rules-class.R'
'Backfill-class.R'
'Backfill-methods.R'
'CrmPackClass-methods.R'
'Data-validity.R'
'Data-class.R'
'helpers_data.R'
'Data-methods.R'
'ModelParams-validity.R'
'ModelParams-class.R'
'Model-validity.R'
'helpers_jags.R'
'Model-class.R'
'HierarchicalModel-class.R'
'TwoDrugsCombo-class.R'
'Design-validity.R'
'Design-class.R'
'McmcOptions-validity.R'
'McmcOptions-class.R'
'McmcOptions-methods.R'
'Samples-validity.R'
'Samples-class.R'
'logger.R'
'helpers_covr.R'
'mcmc.R'
'Simulations-validity.R'
'Simulations-class.R'
'helpers_broom.R'
'helpers_rules.R'
'Model-methods.R'
'checkmate.R'
'Rules-methods.R'
'Design-methods.R'
'HierarchicalDesign-validity.R'
'HierarchicalDesign-class.R'
'HierarchicalDesign-methods.R'
'fromQuantiles.R'
'Samples-methods.R'
'Simulations-methods.R'
'crmPack-package.R'
'helpers_backfill.R'
'helpers_design.R'
'helpers_knitr.R'
'helpers_knitr_Backfill.R'
'helpers_knitr_CohortSize.R'
'helpers_knitr_Design.R'
'helpers_knitr_GeneralData.R'
'helpers_knitr_GeneralModel.R'
'helpers_knitr_Increments.R'
'helpers_knitr_NextBest.R'
'helpers_knitr_Opening.R'
'helpers_knitr_Recruitment.R'
'helpers_knitr_SafetyWindow.R'
'helpers_knitr_Stopping.R'
'helpers_model.R'
'helpers_samples.R'
'helpers_simulations.R'
'utils-pipe.R'
'utils.R'
Config/roxygen2/version: 8.0.0
Remotes:
Boehringer-Ingelheim/decider