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Ordered models such as ordered probit and ordered logit presume that the error variance is constant across observations. In the case that this assumption does not hold estimates of marginal effects are typically biased (Weiss (1997)). This package allows for generalization of ordered probit and ordered logit models by allowing the user to specify a model for the variance. Furthermore, the package includes functions to calculate the marginal effects. Wrapper functions to estimate the standard limited dependent variable models are also included.
| Version: | 3.0.0.0 |
| Depends: | maxLik |
| Imports: | stats |
| Suggests: | glmx, lmtest |
| Published: | 2018-05-05 |
| Author: | Nathan Carroll |
| Maintainer: | Nathan Carroll <nathan.carroll at ur.de> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | oglmx results |
| Reference manual: | oglmx.pdf |
| Vignettes: |
oglmx: A Package for Estimation of Ordered Generalized Linear Models. |
| Package source: | oglmx_3.0.0.0.tar.gz |
| Windows binaries: | r-devel: oglmx_3.0.0.0.zip, r-release: oglmx_3.0.0.0.zip, r-oldrel: oglmx_3.0.0.0.zip |
| macOS binaries: | r-release (arm64): oglmx_3.0.0.0.tgz, r-oldrel (arm64): oglmx_3.0.0.0.tgz, r-release (x86_64): oglmx_3.0.0.0.tgz, r-oldrel (x86_64): oglmx_3.0.0.0.tgz |
| Old sources: | oglmx archive |
| Reverse enhances: | texreg |
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These binaries (installable software) and packages are in development.
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