CRAN

mhsmm 0.4.16

Inference for Hidden Markov and Semi-Markov Models

Released Jan 15, 2017 by Jared O'Connell

This package is available for Renjin and there are no known compatibility issues.

Dependencies

mvtnorm 1.0-8

Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences. Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.

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>mhsmm</artifactId>
    <version>0.4.16-b26</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:mhsmm')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

Source

R
C

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Release History