bin2norm: Hierarchical Probit Estimation for Dichotomized Data

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>.

Version:	0.1.0
Imports:	lme4, rstan, stats, statmod
Published:	2025-11-17
DOI:	10.32614/CRAN.package.bin2norm (may not be active yet)
Author:	Zhaoze Liu [aut, cre]
Maintainer:	Zhaoze Liu <786633848 at qq.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	bin2norm results

Documentation:

Reference manual:

bin2norm.html , bin2norm.pdf

Downloads:

Package source:	bin2norm_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): bin2norm_0.1.0.tgz, r-oldrel (x86_64): bin2norm_0.1.0.tgz

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