Learn R Programming
⚠️There's a newer version (0.1-11.2) of this package.Take me there.

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.

Copy Link

Version

Install

install.packages('mvnmle')

Monthly Downloads

450

Version

0.1-11.1

License

GPL (>= 2)

Maintainer

ORPHANED

Last Published

May 19th, 2018

Functions in mvnmle (0.1-11.1)

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