mvn-class: Multivariate Normal Model Class
In MGMM: Missingness Aware Gaussian Mixture Models
mvn-class R Documentation
Multivariate Normal Model Class
Description
Defines a class to hold multivariate normal models.
Slots
CompletedCompleted data, with missing values imputed to their
posterior expectations.
CovarianceFitted covariance matrix.
DataOriginal data, with missing values present.
MeanFitted mean vector.
ObjectiveFinal value of the EM objective.
MGMM documentation built on Sept. 30, 2023, 5:06 p.m.
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| mvn-class | R Documentation |
Multivariate Normal Model Class
Description
Defines a class to hold multivariate normal models.
Slots
CompletedCompleted data, with missing values imputed to their posterior expectations.
CovarianceFitted covariance matrix.
DataOriginal data, with missing values present.
MeanFitted mean vector.
ObjectiveFinal value of the EM objective.
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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