R: Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm

# Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm

## 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.