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adoptr
View on CRAN: Click
here
Download and install adoptr package within the R console
Install from CRAN:
install.packages("adoptr")
Install from Github:
library("remotes")
install_github("cran/adoptr")
Install by package version:
library("remotes")
install_version("adoptr", "1.1.1")
Attach the package and use:
library("adoptr")
Maintained by
Maximilian Pilz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.adoptr . https://github.com/optad/adoptr/issues . https://github.com/optad/adoptr . https://optad.github.io/adoptr/ . adoptr citation info . adoptr results . adoptr.pdf . Get started with adoptr . The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R . adoptr_1.1.1.tar.gz . adoptr_1.1.1.zip . adoptr_1.1.1.zip . adoptr_1.1.1.zip . adoptr_1.1.1.tgz . adoptr_1.1.1.tgz . adoptr_1.1.1.tgz . adoptr_1.1.1.tgz . adoptr_1.1.1.tgz . adoptr_1.1.1.tgz . adoptr archive . https://CRAN.R-project.org/package=adoptr .
First Published: 2019-04-01
Latest Update: 2023-08-19
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 and for details.
How to cite:
Maximilian Pilz (2019). adoptr: Adaptive Optimal Two-Stage Designs. R package version 1.1.1, https://cran.r-project.org/web/packages/adoptr. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited adoptr R package
View adoptr citation profile
Other R packages that adoptr depends,
imports, suggests or enhances
Complete documentation for adoptr
Functions, R codes and Examples using
the adoptr R package
Some associated functions: AverageN2-class . BinomialDataDistribution-class . ConditionalPower-class . ConditionalSampleSize-class . Constraints . ContinuousPrior-class . DataDistribution-class . GroupSequentialDesign-class . MaximumSampleSize-class . N1-class . NormalDataDistribution-class . OneStageDesign-class . PointMassPrior-class . Prior-class . Scores . StudentDataDistribution-class . TwoStageDesign-class . adoptr . boundary-designs . bounds . composite . condition . critical-values . cumulative_distribution_function . expectation . get_initial_design . make_tunable . minimize . n . plot-TwoStageDesign-method . posterior . predictive_cdf . predictive_pdf . print.adoptrOptimizationResult . probability_density_function . simulate-TwoStageDesign-numeric-method . subject_to . tunable_parameters .
Some associated R codes: BinomialDistribution.R . CompositeScore.R . ConditionalPower.R . ConditionalSampleSize.R . ContinuousPrior.R . DataDistribution.R . GroupSequentialDesign.R . MaximumSampleSize.R . NormalDistribution.R . OneStageDesign.R . PointMassPrior.R . Prior.R . Scores.R . StudentDistribution.R . TwoStageDesign.R . adoptr.R . constraints.R . minimize.R . regularization.R . util.R . Full adoptr package functions and examples
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