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 |