mmlcrObject {mmlcr}R Documentation

Mixed Mode Latent Class Regression Object

Description

Classes of objects returned by fitting mixed mode latent class regression objects. This class of objects is returned by the mmlcr function to represent a fitted mixed mode latent class regression model. Objects of this class have methods for the functions print, plot, summary, anova, vcov, fitted, and residuals, among others.

Details

The following components must be included in a legitimate mmlcr object.

components
a list of the response components. Each element of the list is itself a list, which includes the data for that response, the fit coefficients, the fitted response and the response residuals, among others.
outer
a formula for latent class membership.
outer.df
a data.frame with the variables used in outer.
gamma.matrix
the coefficients from the multinomial fit for latent classes. The values are log(odds ratios) compared to the first class.
prior.prob
a data.frame giving the prior probabilities (that is, based on the fit from outer) of class membership for each subject.
post.prob
a data.frame giving the posterior probabilities (that is, based on the prior probabilities as well as the data from the components) of class membership for each subject.
loglikelihood
the loglikelihood of the final fit.
BIC
the BIC of the final fit.
df
the degrees of freedom of the model
resid.df
the residual degrees of freedom of the model
call
the call to the mmlcr function

See Also

mmlcr


[Package mmlcr version 1.3.5 Index]