Function reference • multimix

All functions
`cancer.df`	Prostate cancer patient data
`cmc.df`	Contraceptive Method Choice data
`count.unique()`	Count the number of unique items ion a vector x
`data_organise()`	Prepare data for use with multimix
`eStep()`	The E(xpectation) step
`hello()`	Hello, World!
`initParamList()`	Initialise the parameter list.
`left()`	Map integer index N>0 back to left member of generating pair.
`mStep()`	The M(aximisation) step
`make_Z_discrete()`	Make initial Z matrix from initial assignment of observations to clusters
`make_Z_fortran()`	Read Z from FORTRAN output. Make into R matrix
`make_Z_random()`	Start from random groups of similar size.
`mmain()`	Title
`multimix`	multimix Model-based clustering using the EM (Expectation Maximisation) algorithm
`pair.index()`	Maps integer pairs (u,v) with 0<u<v bijectively to positive integers.
`plot(<multimixResults>)`	S3 method for plotting multimix results objects
`print(<multimixParamList>)`	S3 printing method for for multimix parameter results
`print(<multimixResults>)`	S3 method for the printing of multimix results
`rcpp_hello()`	Hello, Rcpp!
`right()`	Map integer index N>0 back to right member of generating pair.

Reference