HETOP (0.2-6)

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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) .

Maintainer: J.R. Lockwood
Author(s): J.R. Lockwood

License: GPL (>= 2)

Uses: R2jags

Released 6 months ago.



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