CRAN
geoRglm 0.9-11
A Package for Generalised Linear Spatial Models
Released Oct 18, 2017 by Ole F. Christensen
This package can be loaded by Renjin but 6 out 17 tests failed.
Dependencies
Functions for inference in generalised linear spatial models. The posterior and predictive inference is based on Markov chain Monte Carlo methods. Package geoRglm is an extension to the package geoR, which must be installed first.
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>geoRglm</artifactId>
<version>0.9-11-b2</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:geoRglm')
Test Results
This package was last tested against Renjin 0.8.2474 on Oct 21, 2017.
- asympvar-examples
- binom.krige-examples
- binom.krige.bayes-examples
- covariog-examples
- covariog.model.env-examples
- create.mcmc.coda-examples
- glsm.krige-examples
- glsm.mcmc-examples
- hist.glm.krige.bayes-examples
- image.glm.krige.bayes-examples
- likfit.glsm-examples
- lines.covariomodel-examples
- plot.covariogram-examples
- pois.krige-examples
- pois.krige.bayes-examples
- proflik.glsm-examples
- summary.likGLSM-examples