Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm

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Documentation for package ‘multimix’ version 1.0-10

• DESCRIPTION file.
• Code demos. Use demo() to run them.

Help Pages

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
initParamList	Initialise the parameter list.
left	Map integer index N>0 back to left member of generating pair.
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
mStep	The M(aximisation) step
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
right	Map integer index N>0 back to right member of generating pair.