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preference
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]
[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 30 Jan. 2025.
Previous versions and publish date:
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
Functions, R codes and Examples using
the preference R package
Some associated functions: effects_from_means . fit_preference . fit_preference_summary . imap . optimal_proportion . overall_power . overall_power_binom . overall_sample_size . overall_sample_size_bin . overall_sample_size_pois . plot.preference.trial . preference-package . preference . preference.trial . pt-accessors . pt_from_power . pt_from_ss . pwr_overall_pois . treatment_effect_size .
Some associated R codes: Full preference package functions and examples
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