CRAN

dfmeta 1.0.0

Meta-Analysis of Phase I Dose-Finding Early Clinical Trials

Released Mar 27, 2018 by Artemis Toumazi

This package can be loaded by Renjin but 2 out 3 tests failed.

Dependencies

data.table 1.10.4-3 lme4 1.1-16 plyr 1.8.4 ggplot2 2.2.1

Meta-analysis approaches for Phase I dose finding early phases clinical trials in order to better suit requirements in terms of maximum tolerated dose (MTD) and maximal dose regimen (MDR). This package has currently three different approaches: (a) an approach proposed by Zohar et al, 2011, (denoted as ZKO), (b) the Variance Weighted pooling analysis (called VarWT) and (c) the Random Effects Model Based (REMB) algorithm, where user can input his/her own model based approach or use the existing random effect logistic regression model (named as glimem) through the 'dfmeta' package.

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>dfmeta</artifactId>
    <version>1.0.0-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:dfmeta')

Test Results

This package was last tested against Renjin 0.9.2615 on Apr 1, 2018.

Source

R

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Release History