missvals

The <code>missvals</code> data frame has 13 rows and 5 columns.
These are data from Draper and Smith (1966, ISBN:0471221708), and are included to
demonstrate Maximum Likelihood (ML) estimation of mean and variance-covariance parameters of
multivariate normal data when some observations are missing.

datasets

Finds the Maximum Likelihood (ML) Estimate of the mean vector
and variance-covariance matrix for multivariate normal data
with missing values.

Mao Kobayashi

mvnmle

ML Estimation for Multivariate Normal Data with Missing Values

Kevin Gross

Douglas Bates

missvals function

This data frame contains the following columns:<dl>
 <dt>x1,x2,x3,x4,x5</dt>
<dd>numeric vectors</dd>
</dl>

Format

A multivariate data set with missing values. — missvals

This data frame contains the following columns:<dl>
 <dt>x1,x2,x3,x4,x5</dt>
<dd>numeric vectors</dd>


</dl>

missvals: A multivariate data set with missing values.

Description

Usage

Arguments

Format

Examples