CRAN
maxLik 1.3-6
Maximum Likelihood Estimation and Related Tools
Released May 19, 2019 by Ott Toomet
Dependencies
sandwich 2.5-1 miscTools 0.6-22
Functions for Maximum Likelihood (ML) estimation and non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the ML viewpoint. It also includes a number of convenience tools for testing and developing your own 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>maxLik</artifactId>
<version>1.3-6-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:maxLik')
Test Results
This package was last tested against Renjin 0.9.2726 on Jul 13, 2019.
- BFGSR
- activePar-examples
- basicTest
- bread.maxLik-examples
- compareDerivatives-examples
- condiNumber-examples
- constraints
- finalHessian
- fnSubset-examples
- gradient-examples
- hessian-examples
- logLik.maxLik-examples
- maxBFGS-examples
- maxControl-examples
- maxLik-examples
- maxLik-methods-examples
- maxLik-package-examples
- maxNR-examples
- maxValue-examples
- maximType-examples
- methods
- nIter-examples
- nObs-examples
- nParam-examples
- numericGradient
- numericGradient-examples
- objectiveFn-examples
- returnCode-examples
- summary.maxLik-examples
- summary.maxim-examples
- sumt-examples
- vcov.maxLik-examples