MLE and Bayesian Estimation of Heteroskedastic Ordered Probit (HETOP) Model

Provides functions for maximum likelihood and Bayesian estimation of the Heteroskedastic Ordered Probit (HETOP) model, using methods described in Lockwood, Castellano and Shear (2018) and Reardon, Shear, Castellano and Ho (2017) . It also provides a general function to compute the triple-goal estimators of Shen and Louis (1998) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2-6 by J.R. Lockwood, 2 years ago

Browse source code at

Authors: J.R. Lockwood

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on R2jags, splines, stats

See at CRAN