jrlockwood/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
Browse package contents
Package details |
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| Author | J.R. Lockwood |
| Maintainer | J.R. Lockwood <jr@duolingo.com> |
| License | GPL (>= 2) |
| Version | 0.2-6 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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