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bin2norm  

Hierarchical Probit Estimation for Dichotomized Data
View on CRAN: Click here


Download and install bin2norm package within the R console
Install from CRAN:
install.packages("bin2norm")

Install from Github:
library("remotes")
install_github("cran/bin2norm")

Install by package version:
library("remotes")
install_version("bin2norm", "0.1.0")



Attach the package and use:
library("bin2norm")
Maintained by
Zhaoze Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-17
Latest Update: 2025-11-17
Description:
Provides likelihood-based and hierarchical estimation methods for thresholded (binomial-probit) data. Supports fixed-mean and random-mean models with maximum likelihood estimation (MLE), generalized linear mixed model (GLMM), and Bayesian Markov chain Monte Carlo (MCMC) implementations. For methodological background, see Albert and Chib (1993) <doi:10.1080/01621459.1993.10476321> and McCulloch (1994) <doi:10.2307/2297959>.
How to cite:
Zhaoze Liu (2025). bin2norm: Hierarchical Probit Estimation for Dichotomized Data. R package version 0.1.0, https://cran.r-project.org/web/packages/bin2norm. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-11-17 22:10)
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Complete documentation for bin2norm
Functions, R codes and Examples using the bin2norm R package
Full bin2norm package functions and examples
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