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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>.
| Version: | 0.2-6 |
| Depends: | R (≥ 3.4.0), R2jags, splines, stats |
| Published: | 2019-06-28 |
| Author: | J.R. Lockwood |
| Maintainer: | J.R. Lockwood <jrlockwood at ets.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | HETOP results |
| Reference manual: | HETOP.pdf |
| Package source: | HETOP_0.2-6.tar.gz |
| Windows binaries: | r-devel: HETOP_0.2-6.zip, r-release: HETOP_0.2-6.zip, r-oldrel: HETOP_0.2-6.zip |
| macOS binaries: | r-release (arm64): HETOP_0.2-6.tgz, r-oldrel (arm64): HETOP_0.2-6.tgz, r-release (x86_64): HETOP_0.2-6.tgz, r-oldrel (x86_64): HETOP_0.2-6.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.