Mixed-Mode Latent Class Regression

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Documentation for package ‘mmlcr’ version 1.3.5

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anova.mmlcr Mixed Mode Latent Class Regression
BIC.mmlcr Bayesian Information Criterion
dcnorm Density function for Censored Normal Distribution
dnb2 Density for negative binomial, used in mmlcr
fitted.mmlcr Extract mmlcr Model Component Fitted or Residual Values
formula.mmlcr Mixed Mode Latent Class Regression
logLik.mmlcr Mixed Mode Latent Class Regression
mmlcr Mixed Mode Latent Class Regression
mmlcrclassify Classification of Individuals by Modal Posterior Probabilities
mmlcrcomponentinit Initialize an ‘mmlcr’ component
mmlcrdf An artificial data frame for ‘mmlcr’ examples.
mmlcrfit Used internally by mmlcr to fit mmlcr component objects.
mmlcrlike Used internally by mmlcr to calculate component likelihoods.
mmlcrObject Mixed Mode Latent Class Regression Object
plot.mmlcr Plot Components of mmlcr Object
plot.mmlcrlong Plot a mmlcrlong Component
plot.mmlcronce Plot a mmlcronce Component
plot.multinomlong Plot Components of mmlcr Object
plot.multinomonce Plot Components of mmlcr Object
postprob Extract Posterior Probabilities from mmlcr Object
print.mmlcr Mixed Mode Latent Class Regression
print.summary.mmlcr Mixed Mode Latent Class Regression
residuals.mmlcr Extract mmlcr Model Component Fitted or Residual Values
Srcdfull Longitudinal Dataset of Aggression and Reading Ability in Children.
summary.cnormlong Initialize an ‘mmlcr’ component
summary.mmlcr Mixed Mode Latent Class Regression
summary.multinomlong Initialize an ‘mmlcr’ component
summary.nblong Initialize an ‘mmlcr’ component
summary.normlong Initialize an ‘mmlcr’ component
summary.poislong Initialize an ‘mmlcr’ component
theta.mmmod Estimate theta of the Negative Binomial by Moments
vcov.mmlcr Mixed Mode Latent Class Regression