CRAN/E | rmBayes

rmBayes

Performing Bayesian Inference for Repeated-Measures Designs

Installation

About

A Bayesian credible interval is interpreted with respect to posterior probability, and this interpretation is far more intuitive than that of a frequentist confidence interval. However, standard highest-density intervals can be wide due to between-subjects variability and tends to hide within-subject effects, rendering its relationship with the Bayes factor less clear in within-subject (repeated-measures) designs. This urgent issue can be addressed by using within-subject intervals in within-subject designs, which integrate four methods including the Wei-Nathoo-Masson (2023) doi:10.3758/s13423-023-02295-1, the Loftus-Masson (1994) doi:10.3758/BF03210951, the Nathoo-Kilshaw-Masson (2018) doi:10.1016/j.jmp.2018.07.005, and the Heck (2019) doi:10.31234/osf.io/whp8t interval estimates.

github.com/zhengxiaoUVic/rmBayes
System requirements GNU make
Bug report File report

Key Metrics

Version 0.1.16
R ≥ 3.5.0
Published 2024-02-19 228 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks rmBayes results

Downloads

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Maintainer

Maintainer

Zhengxiao Wei

Authors

Zhengxiao Wei

aut / cre

Farouk S. Nathoo

aut

Michael E. J. Masson

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rmBayes archive

Depends

R ≥ 3.5.0

Imports

methods
Rcpp ≥ 0.12.0
RcppParallel
rstan ≥ 2.26.0
rstantools ≥ 2.1.1
stats

Suggests

knitr
testthat
rmarkdown
covr

LinkingTo

BH ≥ 1.66.0
Rcpp ≥ 0.12.0
RcppEigen ≥ 0.3.3.3.0
RcppParallel
rstan ≥ 2.26.0
StanHeaders ≥ 2.26.0