Other packages > Find by keyword >

adpss  

Design and Analysis of Locally or Globally Efficient Adaptive Designs
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]
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 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.1.0 (2018-07-18 15:00), 0.1.1 (2018-09-20 19:10)
Other packages that cited adpss R package
View adpss citation profile
Other R packages that adpss depends, imports, suggests or enhances
Complete documentation for adpss
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA