Other packages > Find by keyword >

preference  

2-Stage Preference Trial Design and Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("preference", "1.1.6")



Attach the package and use:
library("preference")
Maintained by
Michael Kane
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-16
Latest Update: 2020-09-09
Description:
Design and analyze two-stage randomized trials with a continuous outcome measure. The package contains functions to compute the required sample size needed to detect a given preference, treatment, and selection effect; alternatively, the package contains functions that can report the study power given a fixed sample size. Finally, analysis functions are provided to test each effect using either summary data (i.e. means, variances) or raw study data .
How to cite:
Michael Kane (2017). preference: 2-Stage Preference Trial Design and Analysis. R package version 1.1.6, https://cran.r-project.org/web/packages/preference. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.1.0 (2017-06-16 21:43), 0.1.2 (2017-11-28 18:39), 0.2.2 (2018-05-08 22:05), 1.0.2 (2018-11-29 19:30), 1.1.3 (2020-06-19 10:50)
Other packages that cited preference R package
View preference citation profile
Other R packages that preference depends, imports, suggests or enhances
Complete documentation for preference
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plyr  
Tools for Splitting, Applying and Combining Data
A set of tools that solves a common set of problems: you need to break a big problem down into mana ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gena  
Genetic Algorithm and Particle Swarm Optimization
Implements genetic algorithm and particle swarm algorithm for real-valued functions. Various modific ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

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