CRAN

mvnmle 0.1-11.1

ML Estimation for Multivariate Normal Data with Missing Values

Released May 19, 2018 by ORPHANED

This package can be loaded by Renjin but all tests failed.

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

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>mvnmle</artifactId>
    <version>0.1-11.1-b3</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:mvnmle')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

mlest-examples

Source

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