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BayesianPower
View on CRAN: Click
here
Download and install BayesianPower package within the R console
Install from CRAN:
install.packages("BayesianPower")
Install from Github:
library("remotes")
install_github("cran/BayesianPower")
Install by package version:
library("remotes")
install_version("BayesianPower", "0.2.3")
Attach the package and use:
library("BayesianPower")
Maintained by
Fayette Klaassen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-31
Latest Update: 2020-06-22
Description:
A collection of methods to determine the required sample size for
the evaluation of inequality constrained hypotheses by means of a Bayes
factor. Alternatively, for a given sample size, the unconditional error
probabilities or the expected conditional error probabilities can be
determined. Additional material on the methods in this package is
available in Klaassen, F., Hoijtink, H. & Gu, X. (2019)
.
How to cite:
Fayette Klaassen (2019). BayesianPower: Sample Size and Power for Comparing Inequality Constrained Hypotheses. R package version 0.2.3, https://cran.r-project.org/web/packages/BayesianPower. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for BayesianPower
Functions, R codes and Examples using
the BayesianPower R package
Some associated functions: bayes_error . bayes_power . bayes_sampsize . calc_bf . calc_fc . eval_const . samp_bf . samp_dist .
Some associated R codes: power_sampsize.R . utils.R . Full BayesianPower package functions and examples
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