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mvnmle (version 0.1-11.1)
ML Estimation for Multivariate Normal Data with Missing Values
Description
Finds the maximum likelihood estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
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Install
install.packages('mvnmle')
Monthly Downloads
423
Version
0.1-11.1
License
GPL (>= 2)
Maintainer
ORPHANED
Last Published
May 19th, 2018
Functions in mvnmle (0.1-11.1)
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apple
Worm Infestations in Apple Crops
missvals
A multivariate data set with missing values.
mlest
ML Estimation of Multivariate Normal Data
getclf
Create likelihood function for multivariate data with missing values.
getstartvals
Obtain starting values for maximum likelihood estimation.
mysort
Sort a multivariate data matrix according to patterns of missingness.
make.del
Make the upper triangular matrix del from a parameter vector