CRAN

deGradInfer 1.0.0

Parameter Inference for Systems of Differential Equation

Released Dec 5, 2017 by Frank Dondelinger

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

Dependencies

deSolve 1.21 gdata 2.18.0 gptk 1.08

Efficient Bayesian parameter inference for systems of ordinary differential equations. The inference is based on adaptive gradient matching (AGM, Dondelinger et al. 2013 , Macdonald 2017 ), which offers orders-of-magnitude improvements in computational efficiency over standard methods that require solving the differential equation system. Features of the package include flexible specification of custom ODE systems as R functions, support for missing variables, Bayesian inference via population MCMC.

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>deGradInfer</artifactId>
    <version>1.0.0-b7</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

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

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

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 25, 2018.

Source

R

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Release History