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adpss
View on CRAN: Click
here
Download and install adpss package within the R console
Install from CRAN:
install.packages("adpss")
Install from Github:
library("remotes")
install_github("cran/adpss") Install by package version:
library("remotes")
install_version("adpss", "0.1.2") Attach the package and use:
library("adpss")
Maintained by
Kosuke Kashiwabara
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-18
Latest Update: 2022-12-09
Description:
Provides the functions for planning and conducting a
clinical trial with adaptive sample size determination. Maximal statistical
efficiency will be exploited even when dramatic or multiple adaptations
are made. Such a trial consists of adaptive determination of sample size
at an interim analysis and implementation of frequentist statistical test at the
interim and final analysis with a prefixed significance level. The required
assumptions for the stage-wise test statistics are independent and stationary
increments and normality. Predetermination of adaptation rule is not required.
How to cite:
Kosuke Kashiwabara (2018). adpss: Design and Analysis of Locally or Globally Efficient Adaptive Designs. R package version 0.1.2, https://cran.r-project.org/web/packages/adpss. Accessed 30 Oct. 2026.
Previous versions and publish date:
Other packages that cited adpss R package
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Other R packages that adpss depends,
imports, suggests or enhances
Complete documentation for adpss
Functions, R codes and Examples using
the adpss R package
Some associated functions: adaptive_analysis_norm_global . adaptive_analysis_norm_local . adpss-package . exp_sample_size_norm_global . sample_size_norm_global . sample_size_norm_local . work_test_norm_global .
Some associated R codes: RcppExports.R . adpss.R . work_test_norm_global.R . work_test_norm_local.R . Full adpss package functions and examples
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