R: Hierarchical Probit Estimation for Dichotomized Data

# Hierarchical Probit Estimation for Dichotomized Data

## Documentation for package ‘bin2norm’ version 0.1.1

- DESCRIPTION file.

## Help Pages

bin2norm | bin2norm: A user-friendly interface to estimate normal distribution parameters from dichotomized data
estimate_initial_values_from_data | Get initial values from data
estimate_multiThresh_GLMM | GLMM (Multiple Thresholds per Study, Probit Link, Random Intercepts)
estimate_multiThresh_MCMC | Bayesian MCMC (Multiple Thresholds per Study) using rstan
estimate_multiThresh_MLE | MLE with Numeric Integration (Multiple Thresholds per Study)
estimate_singleThresh_MLE | MLE (Single Threshold per Study)
estimate_singleThresh_probit | GLM probit (Single Threshold per Study)
estimate_singleThresh_WOLS | Weighted OLS (Initial value in Single Threshold per Study MLE)
gaussHermite | Minimal Gauss-Hermite Quadrature