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shinymrp  

Interface for Multilevel Regression and Poststratification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("shinymrp", "0.10.0")



Attach the package and use:
library("shinymrp")
Maintained by
Toan Tran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-09
Latest Update: 2025-10-09
Description:
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) <doi:10.1214/24-STS932>.
How to cite:
Toan Tran (2025). shinymrp: Interface for Multilevel Regression and Poststratification. R package version 0.10.0, https://cran.r-project.org/web/packages/shinymrp. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 0.9.0 (2025-10-09 14:20), 0.9.1 (2025-11-12 04:20)
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Complete documentation for shinymrp
Functions, R codes and Examples using the shinymrp R package
Full shinymrp package functions and examples
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