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oglmx  

Estimation of Ordered Generalized Linear Models
View on CRAN: Click here


Download and install oglmx package within the R console
Install from CRAN:
install.packages("oglmx")

Install from Github:
library("remotes")
install_github("cran/oglmx")

Install by package version:
library("remotes")
install_version("oglmx", "3.0.0.0")



Attach the package and use:
library("oglmx")
Maintained by
Nathan Carroll
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-02
Latest Update: 2018-05-05
Description:
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.
How to cite:
Nathan Carroll (2015). oglmx: Estimation of Ordered Generalized Linear Models. R package version 3.0.0.0, https://cran.r-project.org/web/packages/oglmx
Previous versions and publish date:
1.0.2 (2015-06-02 00:40), 1.0.3 (2015-07-31 17:38), 2.0.0.0 (2016-05-27 18:25), 2.0.0.1 (2016-08-24 18:38), 2.0.0.3 (2017-03-09 18:08)
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