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: 2025-11-06 20:48:42 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre],
  Yifei Huang [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:13 UTC
Built: R 4.6.0; ; 2026-04-30 00:34:17 UTC; unix
