initSmallEM: initSmallEM
In valse: Variable Selection with Mixture of Models
Description
Usage
Arguments
Value
Description
initialization of the EM algorithm
Usage
1
initSmallEM(k, X, Y, fast)
Arguments
k
number of components
X
matrix of covariates (of size n*p)
Y
matrix of responses (of size n*m)
fast
boolean to enable or not the C function call
Value
a list with phiInit (the regression parameter reparametrized),
rhoInit (the covariance parameter reparametrized), piInit (the proportion parameter is the
mixture model), gamInit (the conditional expectation)
valse documentation built on May 31, 2021, 9:10 a.m.
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Description Usage Arguments Value
Description
initialization of the EM algorithm
Usage
1 | initSmallEM(k, X, Y, fast)
|
Arguments
k |
number of components |
X |
matrix of covariates (of size n*p) |
Y |
matrix of responses (of size n*m) |
fast |
boolean to enable or not the C function call |
Value
a list with phiInit (the regression parameter reparametrized), rhoInit (the covariance parameter reparametrized), piInit (the proportion parameter is the mixture model), gamInit (the conditional expectation)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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