Package: HETOP
Type: Package
Title: MLE and Bayesian Estimation of Heteroskedastic Ordered Probit
        (HETOP) Model
Version: 0.2-6
Date: 2019-06-26
Depends: R (>= 3.4.0), R2jags, splines, stats
Author: J.R. Lockwood
Maintainer: J.R. Lockwood <jrlockwood@ets.org>
Description: 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>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-06-26 20:22:45 UTC; jlock
Repository: CRAN
Date/Publication: 2019-06-28 16:20:27 UTC
Built: R 4.1.0; ; 2021-05-26 15:20:33 UTC; unix
