CRAN
mopa 1.0.1
Species Distribution MOdeling with Pseudo-Absences
Released Feb 13, 2018 by Maialen Iturbide
Dependencies
raster 2.6-7 e1071 1.7-0 sampling 2.8 spam 2.2-0 gtools 3.8.1 lattice 0.20-35 rpart 4.1-13 tree 1.0-39 spatstat 1.56-1 randomForest 4.6-14 PresenceAbsence 1.1.9 ranger 0.10.1 abind 1.4-3 dismo 1.1-4 earth 4.6.3 splancs 2.01-40 sp 1.3-1
Tools for transferable species distribution modeling and pseudo-absence data generation allowing the straightforward design of relatively complex experiments with multiple factors affecting the uncertainty (variability) of SDM outputs (pseudo-absence sample, climate projection, modeling algorithm, etc.), and the quantification of the contribution of different factors to the final variability following the method described in Deque el al. (2010)
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>mopa</artifactId>
<version>1.0.1-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>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:mopa')
Test Results
This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.