CRAN
abc 2.1
Tools for Approximate Bayesian Computation (ABC)
Released May 5, 2015 by Blum Michael
Dependencies
quantreg 5.36 nnet 7.3-12 abc.data 1.0 MASS 7.3-50 locfit 1.5-9.1
Implements several ABC algorithms for performing parameter estimation, model selection, and goodness-of-fit. Cross-validation tools are also available for measuring the accuracy of ABC estimates, and to calculate the misclassification probabilities of different models.
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>abc</artifactId> <version>2.1-b295</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:abc')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.
- abc-examples
- cv4abc-examples
- cv4postpr-examples
- expected.deviance-examples
- gfit-examples
- gfitpca-examples
- hist.abc-examples
- plot.abc-examples
- plot.cv4abc-examples
- plot.cv4postpr-examples
- plot.gfit-examples
- postpr-examples
- summary.abc-examples
- summary.cv4abc-examples
- summary.cv4postpr-examples
- summary.gfit-examples
- summary.postpr-examples