Description Usage Arguments Details Value Author(s) See Also Examples
Estimate mixture latent variable model
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data |
|
k |
Number of mixture components |
theta |
Optional starting values |
steps |
Maximum number of iterations |
tol |
Convergence tolerance of EM algorithm |
lambda |
Added to diagonal of covariance matrix (to avoid singularities) |
mu |
Initial centres (if unspecified random centres will be chosen) |
silent |
Turn on/off output messages |
extra |
Extra debug information |
... |
Additional arguments parsed to lower-level functions |
Estimate parameters in a mixture of latent variable models via the EM algorithm.
A mixture
object
Klaus K. Holst
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