CRAN

LassoSIR 0.1.1

Sparsed Sliced Inverse Regression via Lasso

Released Dec 6, 2017 by Zhigen Zhao

This package can be loaded by Renjin but all tests failed.

Dependencies

glmnet 2.0-16

Estimate the sufficient dimension reduction space using sparsed sliced inverse regression via Lasso (Lasso-SIR) introduced in Lin, Zhao, and Liu (2017) . The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index 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>LassoSIR</artifactId>
    <version>0.1.1-b9</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:LassoSIR')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

Source

R

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Release History