CRAN

MapGAM 1.2-4

Mapping Smoothed Effect Estimates from Individual-Level Data

Released Jan 22, 2019 by Scott Bartell

This package can be loaded by Renjin but 1 out 10 tests failed. An older version of this package is more compatible with Renjin.

Dependencies

survival 2.43-3 sp 1.3-1 gam 1.16 maptools 0.9-3 colorspace 1.4-0

Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (submitted). Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders).

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>MapGAM</artifactId>
    <version>1.2-4-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:MapGAM')

Test Results

This package was last tested against Renjin 0.9.2719 on Jan 24, 2019.

Source

R

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Release History