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ppRep  

Analysis of Replication Studies using Power Priors
View on CRAN: Click here


Download and install ppRep package within the R console
Install from CRAN:
install.packages("ppRep")

Install from Github:
library("remotes")
install_github("cran/ppRep")

Install by package version:
library("remotes")
install_version("ppRep", "0.42.3")



Attach the package and use:
library("ppRep")
Maintained by
Samuel Pawel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-16
Latest Update: 2023-10-19
Description:
Provides functionality for Bayesian analysis of replication studies using power prior approaches (Pawel et al., 2023) .
How to cite:
Samuel Pawel (2023). ppRep: Analysis of Replication Studies using Power Priors. R package version 0.42.3, https://cran.r-project.org/web/packages/ppRep. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 0.42.1 (2023-06-16 18:20)
Other packages that cited ppRep R package
View ppRep citation profile
Other R packages that ppRep depends, imports, suggests or enhances
Complete documentation for ppRep
Functions, R codes and Examples using the ppRep R package
Some associated functions: bfPPalpha . bfPPtheta . margLik . plotPP . postNormMean . postNormVar . postPP . posterioralpha . posteriortheta . 
Some associated R codes: estimation.R . margLik.R . testing.R .  Full ppRep package functions and examples
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