HETOP: 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) <doi:10.3102/1076998618795124> and Reardon, Shear, Castellano and Ho (2017) <doi:10.3102/1076998616666279>. It also provides a general function to compute the triple-goal estimators of Shen and Louis (1998) <doi:10.1111/1467-9868.00135>.

Getting started

Package details

AuthorJ.R. Lockwood
MaintainerJ.R. Lockwood <[email protected]>
LicenseGPL (>= 2)
Version0.2-6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("HETOP")

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HETOP documentation built on June 28, 2019, 5:03 p.m.