formula.oglmx

object of class <code>oglmx</code>.

additional arguments, currently ignored.

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Given an object of class <code>oglmx</code> the function describes the estimated model via an expression of class <code><a rd-options="" href="/link/formula?package=oglmx&version=3.0.0.0" data-mini-rdoc="oglmx::formula">formula</a></code>. The function serves to provide a name of a model to the <code>lrtest</code> function in the <code>lmtest</code> package.

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.

Nathan Carroll

oglmx

Estimation of Ordered Generalized Linear Models

formula.oglmx function

Given an object of class <code>oglmx</code> the function describes the estimated model via an expression of class <code><a rd-options='' href='formula'>formula</a></code>. The function serves to provide a name of a model to the <code>lrtest</code> function in the <code>lmtest</code> package.

formula.oglmx: Obtain model formula for an `oglmx` object.

Description

Usage

Arguments

Value

See Also