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.
componentsa 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.
outera formula for latent class membership.
outer.dfa data.frame with the variables used in outer.
gamma.matrixthe coefficients from the multinomial fit for latent classes. The values
are log(odds ratios) compared to the first class.
prior.proba data.frame giving the prior probabilities (that is, based on the fit from
outer) of class membership for each subject.
post.proba 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.
loglikelihoodthe loglikelihood of the final fit.
BICthe BIC of the final fit.
dfthe degrees of freedom of the model
resid.dfthe residual degrees of freedom of the model
callthe call to the mmlcr
function
See Also
mmlcr
[Package
mmlcr version 1.3.5
Index]