mvnmle: ML estimation for multivariate normal data with missing values.
Version 0.1-11

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

AuthorKevin Gross, with help from Douglas Bates
Date of publication2012-12-21 20:38:43
MaintainerORPHANED
LicenseGPL (>= 2)
Version0.1-11
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mvnmle")

Popular 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...
See all...

All man pages Function index File listing

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...

Functions

apple Man page
getclf Man page Source code
getstartvals Man page Source code
make.del Man page Source code
missvals Man page
mlest Man page Source code
mysort Man page Source code

Files

MD5
src
src/evallf.c
man
man/mysort.Rd
man/mlest.Rd
man/missvals.Rd
man/make.del.Rd
man/getstartvals.Rd
man/getclf.Rd
man/apple.Rd
data
data/missvals.rda
data/apple.rda
R
R/mysort.R
R/mlest.R
R/make.del.R
R/getstartvals.R
R/getclf.R
NAMESPACE
INDEX
DESCRIPTION
mvnmle documentation built on May 19, 2017, 3:34 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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