mvnmle: ML estimation for multivariate normal data with missing values.

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Finds the maximum likelihood estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.

Author
Kevin Gross, with help from Douglas Bates
Date of publication
2012-12-21 20:38:43
Maintainer
ORPHANED
License
GPL (>= 2)
Version
0.1-11

View on CRAN

Man pages

apple
Worm Infestations in Apple Crops
getclf
Create likelihood function for multivariate data with missing...
getstartvals
Obtain starting values for maximum likelihood estimation.
make.del
Make the upper triangular matrix del from a parameter vector
missvals
A multivariate data set with missing values.
mlest
ML Estimation of Multivariate Normal Data
mysort
Sort a multivariate data matrix according to patterns of...

Files in this package

mvnmle
mvnmle/MD5
mvnmle/src
mvnmle/src/evallf.c
mvnmle/man
mvnmle/man/mysort.Rd
mvnmle/man/mlest.Rd
mvnmle/man/missvals.Rd
mvnmle/man/make.del.Rd
mvnmle/man/getstartvals.Rd
mvnmle/man/getclf.Rd
mvnmle/man/apple.Rd
mvnmle/data
mvnmle/data/missvals.rda
mvnmle/data/apple.rda
mvnmle/R
mvnmle/R/mysort.R
mvnmle/R/mlest.R
mvnmle/R/make.del.R
mvnmle/R/getstartvals.R
mvnmle/R/getclf.R
mvnmle/NAMESPACE
mvnmle/INDEX
mvnmle/DESCRIPTION