CRAN
MPS 2.3.0
Estimating Through the Maximum Product Spacing Approach
Released Oct 19, 2018 by Mahdi Teimouri
Developed for computing the probability density function, computing the cumulative distribution function, computing the quantile function, random generation, and estimating the parameters of 24 G-family of statistical distributions via the maximum product spacing approach introduced in
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>MPS</artifactId> <version>2.3.0-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>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:MPS')
Test Results
This package was last tested against Renjin 0.9.2692 on Oct 21, 2018.
- betaexpg-examples
- betag-examples
- expexppg-examples
- expg-examples
- expgg-examples
- expkumg-examples
- gammag-examples
- gammag1-examples
- gammag2-examples
- gbetag-examples
- gexppg-examples
- gmbetaexpg-examples
- gtransg-examples
- gxlogisticg-examples
- kumg-examples
- loggammag1-examples
- loggammag2-examples
- mbetag-examples
- mog-examples
- mokumg-examples
- ologlogg-examples
- texpsg-examples
- weibullextg-examples
- weibullg-examples