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
mmlcr.default Mixed Mode Latent Class Regression
mmlcr.mmlcr Mixed Mode Latent Class Regression
mmlcrclassify Classification of Individuals by Modal Posterior Probabilities
mmlcrcomponentinit Initialize an 'mmlcr' component
mmlcrcomponentinit.cnormlong Initialize an 'mmlcr' component
mmlcrcomponentinit.cnormonce Initialize an 'mmlcr' component
mmlcrcomponentinit.default Initialize an 'mmlcr' component
mmlcrcomponentinit.multinomlong Initialize an 'mmlcr' component
mmlcrcomponentinit.multinomonce Initialize an 'mmlcr' component
mmlcrcomponentinit.nblong Initialize an 'mmlcr' component
mmlcrcomponentinit.nbonce Initialize an 'mmlcr' component
mmlcrcomponentinit.normlong Initialize an 'mmlcr' component
mmlcrcomponentinit.normonce Initialize an 'mmlcr' component
mmlcrcomponentinit.poislong Initialize an 'mmlcr' component
mmlcrcomponentinit.poisonce Initialize an 'mmlcr' component
mmlcrdf An artificial data frame for 'mmlcr' examples.
mmlcrfit Used internally by mmlcr to fit mmlcr component objects.
mmlcrfit.cnormlong Used internally by mmlcr to fit mmlcr component objects.
mmlcrfit.default Used internally by mmlcr to fit mmlcr component objects.
mmlcrfit.multinomlong Used internally by mmlcr to fit mmlcr component objects.
mmlcrfit.nblong Used internally by mmlcr to fit mmlcr component objects.
mmlcrfit.nofit Used internally by mmlcr to fit mmlcr component objects.
mmlcrfit.normlong Used internally by mmlcr to fit mmlcr component objects.
mmlcrfit.poislong Used internally by mmlcr to fit mmlcr component objects.
mmlcrlike Used internally by mmlcr to calculate component likelihoods.
mmlcrlike.cnormlong Used internally by mmlcr to calculate component likelihoods.
mmlcrlike.default Used internally by mmlcr to calculate component likelihoods.
mmlcrlike.multinomlong Used internally by mmlcr to calculate component likelihoods.
mmlcrlike.nb1long Used internally by mmlcr to calculate component likelihoods.
mmlcrlike.nblong Used internally by mmlcr to calculate component likelihoods.
mmlcrlike.normlong Used internally by mmlcr to calculate component likelihoods.
mmlcrlike.poislong 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