Package: BayesRepDesign 0.42.2

BayesRepDesign: Bayesian Design of Replication Studies

Provides functionality for determining the sample size of replication studies using Bayesian design approaches in the normal-normal hierarchical model (Pawel et al., 2023) <doi:10.1037/met0000604>.

Authors:Samuel Pawel [aut, cre]

BayesRepDesign_0.42.2.tar.gz
BayesRepDesign_0.42.2.zip(r-4.7)BayesRepDesign_0.42.2.zip(r-4.6)BayesRepDesign_0.42.2.zip(r-4.5)
BayesRepDesign_0.42.2.tgz(r-4.6-any)BayesRepDesign_0.42.2.tgz(r-4.5-any)
BayesRepDesign_0.42.2.tar.gz(r-4.7-any)BayesRepDesign_0.42.2.tar.gz(r-4.6-any)
BayesRepDesign_0.42.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesRepDesign/json (API)
NEWS

# Install 'BayesRepDesign' in R:
install.packages('BayesRepDesign', repos = c('https://samch93.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/samch93/bayesrepdesign/issues

On CRAN:

Conda:

3.18 score 3 stars 4 scripts 239 downloads 22 exports 3 dependencies

Last updated from:2077db1971. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK110
source / vignettesOK144
linux-release-x86_64OK112
macos-release-arm64OK77
macos-oldrel-arm64OK68
windows-develOK77
windows-releaseOK70
windows-oldrelOK97
wasm-releaseOK93

Exports:designPriorporsporsBF01porsBFrporsBFsporsEquporsMetaporsPsporsSigporsTOSTse2nssdssdBF01ssdBFrssdBFsssdEqussdMetassdPsssdSigssdTOSTsuccessRegionsuccessRegionSig

Dependencies:lamWRcppRcppParallel

Readme and manuals

Help Manual

Help pageTopics
Density method for class '"designPrior"'density.designPrior
Design prior for effect sizedesignPrior
Plot method for class '"designPrior"'plot.designPrior
Compute probability of replication successpors
Probability of replication success based on Bayes factorporsBF01
Probability of replication success based on replication Bayes factorporsBFr
Probability of replication success based on the sceptical Bayes factorporsBFs
Probability of replication success based on effect size equivalenceporsEqu
Probability of replication success based on meta-analytic significanceporsMeta
Probability of replication success based on the sceptical p-valueporsPs
Probability of replication success based on significanceporsSig
Probability of replication success based on TOST equivalenceporsTOST
Print method for class '"designPrior"'print.designPrior
Print method for class '"ssdRS"'print.ssdRS
Print method for class '"successRegion"'print.successRegion
Sample size related to standard error and unit standard deviationse2n
Sample size determination for replication successssd
Sample size determination for replication success based on Bayes factorssdBF01
Sample size determination for replication success based on replication Bayes factorssdBFr
Sample size determination for replication success based on the sceptical Bayes factorssdBFs
Sample size determination for replication success based on effect size equivalencessdEqu
Sample size determination for replication success based on meta-analytic significancessdMeta
Sample size determination for replication success based on the sceptical p-valuessdPs
Sample size determination for replication success based on significancessdSig
Sample size determination for replication success based on TOST equivalencessdTOST
Success region for replication effect estimatesuccessRegion
Success region based on significancesuccessRegionSig