gaussEstMultiple: Gaussian Maximum Likelihood on a Matrix
In RPMM: Recursively Partitioned Mixture Model
Description
Usage
Arguments
Value
Description
Maximum likelihood estimator for Gaussian model on matrix of values
(columns having different, independent Gaussian distributions)
Usage
1
gaussEstMultiple(Y, weights = NULL)
Arguments
Y
data matrix
weights
case weights
Value
A list of beta parameters and BIC
RPMM documentation built on May 2, 2019, 2:52 p.m.
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Description Usage Arguments Value
Description
Maximum likelihood estimator for Gaussian model on matrix of values (columns having different, independent Gaussian distributions)
Usage
1 | gaussEstMultiple(Y, weights = NULL)
|
Arguments
Y |
data matrix |
weights |
case weights |
Value
A list of beta parameters and BIC
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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