Other packages > Find by keyword >

blindrecalc  

Blinded Sample Size Recalculation
View on CRAN: Click here


Download and install blindrecalc package within the R console
Install from CRAN:
install.packages("blindrecalc")

Install from Github:
library("remotes")
install_github("cran/blindrecalc")

Install by package version:
library("remotes")
install_version("blindrecalc", "1.1.0")



Attach the package and use:
library("blindrecalc")
Maintained by
Lukas Baumann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-11
Latest Update: 2025-06-17
Description:
Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. See Baumann, Pilz, Kieser (2022) for a detailed description. The implemented methods include the approaches by Lu, K. (2019) , Kieser, M. and Friede, T. (2000) , Friede, T. and Kieser, M. (2004) , Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) , and Friede, T. and Kieser, M. (2011) .
How to cite:
Lukas Baumann (2020). blindrecalc: Blinded Sample Size Recalculation. R package version 1.1.0, https://cran.r-project.org/web/packages/blindrecalc. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:22), 0.1.2 (2020-05-11 13:10), 0.1.3 (2021-07-06 18:00), 1.0.0 (2022-11-18 10:30), 1.0.1 (2023-10-04 14:50), 1.1.0 (2025-06-17 10:00)
Other packages that cited blindrecalc R package
View blindrecalc citation profile
Other R packages that blindrecalc depends, imports, suggests or enhances
Complete documentation for blindrecalc
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
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  
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  
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  
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  

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