CRAN

MaxMC 0.1.1

Maximized Monte Carlo

Released Mar 24, 2019 by Julien Neves

Dependencies

pso 1.0.3 scales 1.0.0 NMOF 1.4-3 GenSA 1.1.7 GA 3.2

An implementation of the Monte Carlo techniques described in details by Dufour (2006) and Dufour and Khalaf (2007) . The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.

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>MaxMC</artifactId>
    <version>0.1.1-b1</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:MaxMC')

Test Results

This package was last tested against Renjin 0.9.2725 on Mar 26, 2019.

• get_control-examples
• mc-examples
• monitor_mmc-examples
• plot.mmc-examples
• print.mc-examples
• print.mmc-examples
• pvalue-examples
• return_mc-examples
• return_mmc-examples
• simulation_mc-examples
• simulation_mmc-examples

Source

View GitHub Mirror

Release History

• 0.1.1