Rdocumentation
powered by
Learn R Programming
moc (version 2.0)
General Nonlinear Multivariate Finite Mixtures
Description
Fits and vizualize user defined finite mixture models for multivariate observations using maximum likelihood. (McLachlan, G., Peel, D. (2000) Finite Mixture Models. Wiley-Interscience.)
Copy Link
Link to current version
Version
Version
2.0
Install
install.packages('moc')
Monthly Downloads
122
Version
2.0
License
GPL-2
Maintainer
Bernard Boulerice
Last Published
February 28th, 2019
Functions in moc (2.0)
Search all functions
AIC.moc
Information criterions for MOC models.
utils.moc
MOC utility functions.
confint.moc
Parameter and profiles confidence intervals and likelihood profiling of MOC models.
moc.dat
Example data for MOC
moc
Fit a General Nonlinear Multivariate Mixture Model (MOC)
print.moc
Summary methods for fitted MOC models
plot.moc
Plotting methods for MOC models.
residuals.moc
Posterior and residuals methods for MOC models