Package: powerprior
Version: 1.0.0
Title: Conjugate Power Priors for Bayesian Analysis of Normal Data
Authors@R: c(
    person(given  = "Yusuke",
           family = "Yamaguchi",
           role   = c("aut","cre"),
           email  = "yamagubed@gmail.com"),
    person(given  = "Yifei",
           family = "Huang",
           role   = c("aut")))
Description: Implements conjugate power priors for efficient Bayesian
        analysis of normal data. Power priors allow principled
        incorporation of historical information while controlling the
        degree of borrowing through a discounting parameter (Ibrahim
        and Chen (2000) <doi:10.1214/ss/1009212519>). This package
        provides closed-form conjugate representations for both
        univariate and multivariate normal data using
        Normal-Inverse-Chi-squared and Normal-Inverse-Wishart
        distributions, eliminating the need for MCMC sampling. The
        conjugate framework builds upon standard Bayesian methods
        described in Gelman et al. (2013, ISBN:978-1439840955).
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: stats, MASS, LaplacesDemon, ggplot2, shiny, shinydashboard,
        shinyjs, DT, dplyr, tidyr, rlang
Suggests: testthat (>= 3.0.0), rmarkdown
NeedsCompilation: no
Packaged: 2026-10-03 10:37:51 UTC; root
Author: Yusuke Yamaguchi [aut, cre], Yifei Huang [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-11-11 21:40:13 UTC
RemoteUrl: https://github.com/cran/powerprior
RemoteRef: HEAD
RemoteSha: bc51aa1f29441fa034744affbc755e7bb167e047