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) .


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Reference manual

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install.packages("HETOP")

0.2-6 by J.R. Lockwood, 5 months ago


Browse source code at https://github.com/cran/HETOP


Authors: J.R. Lockwood


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on R2jags, splines, stats


See at CRAN