The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| DOI: | 10.32614/CRAN.package.HETOP |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=HETOP to link to this page.
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.
Health stats visible at Monitor.