General Nonlinear Multivariate Finite Mixtures

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Documentation for package ‘moc’ version 2.0

Help Pages

AIC.moc Information criterions for MOC models.
coef.moc Summary methods for fitted MOC models
confint.moc Parameter and profiles confidence intervals and likelihood profiling of MOC models.
density.moc Parameter and profiles confidence intervals and likelihood profiling of MOC models.
entropy Information criterions for MOC models.
entropy.default Information criterions for MOC models.
entropy.moc Information criterions for MOC models.
entropyplot Plotting methods for MOC models.
entropyplot.moc Plotting methods for MOC models.
fitted.moc Summary methods for fitted MOC models
glogit MOC utility functions.
inv.glogit MOC utility functions.
logLik.moc Information criterions for MOC models.
loglike.moc Information criterions for MOC models.
mix.colors.moc MOC utility functions.
moc Fit a General Nonlinear Multivariate Mixture Model (MOC)
moc.dat Example data for MOC
mocUtils MOC utility functions.
npmle.gradient Posterior and residuals methods for MOC models
obsfit.moc Summary methods for fitted MOC models
plot.moc Plotting methods for MOC models.
plot.residuals.moc Plotting methods for MOC models.
post Posterior and residuals methods for MOC models
post.moc Posterior and residuals methods for MOC models
print.moc Summary methods for fitted MOC models
profiles.postCI Parameter and profiles confidence intervals and likelihood profiling of MOC models.
profilesplot Plotting methods for MOC models.
profilesplot.moc Plotting methods for MOC models.
residuals.moc Posterior and residuals methods for MOC models
update.moc Fit a General Nonlinear Multivariate Mixture Model (MOC)