oglmx
Estimation of Ordered Generalized Linear Models
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.
- Version3.0.0.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release05/05/2018
Documentation
Team
Nathan Carroll
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Suggests2 packages
- Reverse Enhances1 package