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BayesRepDesign (version 0.42)

Bayesian Design of Replication Studies

Description

Provides functionality for determining the sample size of replication studies using Bayesian design approaches in the normal-normal hierarchical model (Pawel et al., 2022) .

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install.packages('BayesRepDesign')

Monthly Downloads

176

Version

0.42

License

GPL-3

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Repository

https://github.com/SamCH93/BayesRepDesign

Maintainer

Samuel Pawel

Last Published

May 3rd, 2023

Functions in BayesRepDesign (0.42)

Print method for class "ssdRS"

print.designPrior

Print method for class "designPrior"

successRegionSig

Success region based on significance

Sample size determination for replication success based on effect size equivalence

Sample size determination for replication success based on replication Bayes factor

Sample size determination for replication success based on meta-analytic significance

Sample size determination for replication success based on TOST equivalence

Sample size determination for replication success based on the sceptical Bayes factor

Success region for replication effect estimate

Sample size determination for replication success based on the sceptical p-value

Sample size determination for replication success based on significance

Compute probability of replication success

Design prior for effect size

Probability of replication success based on the sceptical Bayes factor

density.designPrior

Density method for class "designPrior"

Probability of replication success based on meta-analytic significance

Probability of replication success based on the sceptical p-value

Probability of replication success based on effect size equivalence

Probability of replication success based on replication Bayes factor

Probability of replication success based on Bayes factor

plot.designPrior

Plot method for class "designPrior"

Sample size determination for replication success

Probability of replication success based on TOST equivalence

print.successRegion

Print method for class "successRegion"

Sample size related to standard error and unit standard deviation

Probability of replication success based on significance

Sample size determination for replication success based on Bayes factor