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cff-version: 1.2.0
message: 'To cite package "shinymrp" in publications use:'
type: software
license: MIT
title: 'shinymrp: Interface for Multilevel Regression and Poststratification'
version: 0.10.0
doi: 10.32614/CRAN.package.shinymrp
abstract: Dual interfaces, graphical and programmatic, designed for intuitive applications
  of Multilevel Regression and Poststratification (MRP). Users can apply the method
  to a variety of datasets, from electronic health records to sample survey data,
  through an end-to-end Bayesian data analysis workflow. The package provides robust
  tools for data cleaning, exploratory analysis, flexible model building, and insightful
  result visualization. For more details, see Si et al. (2020) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2020002/article/00003-eng.pdf?st=iF1_Fbrh>
  and Si (2025) <https://doi.org/10.1214/24-STS932>.
authors:
- family-names: Tran
  given-names: Toan
  email: trannttoan97@gmail.com
- family-names: Gabry
  given-names: Jonah
  email: jgabry@gmail.com
- family-names: Si
  given-names: Yajuan
  email: yajuan@umich.edu
repository: https://mrp-interface.r-universe.dev
repository-code: https://github.com/mrp-interface/shinymrp
commit: 93a48e4fe89b4e9ec63843851bc8ff40795fddb0
url: https://mrp-interface.github.io/shinymrp/
date-released: '2025-12-04'
contact:
- family-names: Tran
  given-names: Toan
  email: trannttoan97@gmail.com