Usage
simE(mu, sigmasq, pro, ..., seed = 0)
simV(mu, sigmasq, pro, ..., seed = 0)
simEII(mu, sigmasq, pro, ..., seed = 0)
simVII(mu, sigmasq, pro, ..., seed = 0)
simEEI(mu, decomp, pro, ..., seed = 0)
simVEI(mu, decomp, pro, ..., seed = 0)
simEVI(mu, decomp, pro, ..., seed = 0)
simVVI(mu, decomp, pro, ..., seed = 0)
simEEE(mu, pro, ..., seed = 0)
simEEV(mu, decomp, pro, ..., seed = 0)
simVEV(mu, decomp, pro, ..., seed = 0)
simVVV(mu, pro, ..., seed = 0)
Arguments
mu
The mean for each component. If there is more than one component,
mu is a matrix whose columns are the
means of the components.
sigmasq
for the one-dimensional models ("E", "V") and spherical models
("EII", "VII"). This is either a vector whose kth component
is the variance for the kth component in the mixture model
("V" and "VII"), or a scalar giving the com
decomp
for the diagonal models ("EEI", "VEI", "EVI", "VVI") and some
ellipsoidal models ("EEV", "VEV"). This is a list described in
cdens. pro
Component mixing proportions. If missing, equal proportions are assumed.
...
- Other terms describing variance:
[object Object],[object Object],The form of the variance specification is the same as for the output
for the
em, me, or mstep methods for the
specified mixture m