CRAN

NPMLENCC 1.0

Non-Parametric Maximum Likelihood Estimate for Cohort Samplings

Released May 31, 2019 by Jie-Huei Wang

This package can be loaded by Renjin but 1 out 2 tests failed.

Dependencies

MASS 7.3-51.4 survival 2.44-1.1

To compute the non-parametric maximum likelihood estimates (NPMLEs) and penalized NPMLEs with SCAD, HARD and LASSO penalties for nested case-control or case-cohort sampling design with time matching under Cox's regression model. It also proposes the standard error formula for estimator using observed profile likelihood. For details about (penalized) NPNLEs see the original paper "Penalized Full Likelihood Approach to Variable Selection for Cox's Regression Model under Nested Case-Control Sampling" by Wang et al. (2019) .

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>NPMLENCC</artifactId>
    <version>1.0-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>

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Renjin CLI

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

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

Test Results

This package was last tested against Renjin 0.9.2726 on Jul 13, 2019.

Source

R

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Release History