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DESCRIPTION
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DESCRIPTION
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Package: adoptr
Type: Package
Title: Adaptive Optimal Two-Stage Designs in R
Version: 1.1.0
Authors@R: c(
person("Kevin", "Kunzmann",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0002-1140-7143")
),
person("Maximilian", "Pilz",
role = c("aut"),
email = "[email protected]",
comment = c(ORCID = "0000-0002-9685-1613")
)
)
Description: Optimize one or two-arm, two-stage designs for clinical trials with
respect to several pre-implemented objective criteria or implement custom
objectives.
Optimization under uncertainty and conditional (given stage-one outcome)
constraints are supported.
See <doi:10.1002/sim.8291> and <doi:10.18637/jss.v098.i09> for details.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests:
knitr,
rmarkdown,
testthat,
covr,
rpact,
vdiffr,
pwr,
dplyr,
ggplot2,
tidyr,
gridExtra,
bookdown
Imports:
nloptr,
methods,
glue
VignetteBuilder: knitr
Collate:
'DataDistribution.R'
'BinomialDistribution.R'
'ChiSquaredDistribution.R'
'Prior.R'
'TwoStageDesign.R'
'OneStageDesign.R'
'util.R'
'Scores.R'
'CompositeScore.R'
'ConditionalPower.R'
'ConditionalSampleSize.R'
'ContinuousPrior.R'
'FDistribution.R'
'GroupSequentialDesign.R'
'MaximumSampleSize.R'
'NormalDistribution.R'
'PointMassPrior.R'
'StudentDistribution.R'
'Survival.R'
'adoptr.R'
'constraints.R'
'minimize.R'
'regularization.R'
RoxygenNote: 7.2.3
BugReports: https://github.com/imbi-heidelberg/adoptr/issues
URL: https://github.com/imbi-heidelberg/adoptr