CRAN

netchain 0.1.0

Inferring Causal Effects on Collective Outcomes under Interference

Released Jan 16, 2019 by Youjin Lee

This package can be loaded by Renjin but 1 out 4 tests failed.

Dependencies

Matrix 1.2-15 Rcpp stringr 1.3.1 igraph 1.2.2 gtools 3.8.1

In networks, treatments may spill over from the treated individual to his or her social contacts and outcomes may be contagious over time. Under this setting, causal inference on the collective outcome observed over all network is often of interest. We use chain graph models approximating the projection of the full longitudinal data onto the observed data to identify the causal effect of the intervention on the whole outcome. Justification of such approximation is demonstrated in Ogburn et al. (2018) .

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>netchain</artifactId>
    <version>0.1.0-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>

View build log

Renjin CLI

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

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

Test Results

This package was last tested against Renjin 0.9.2719 on Jan 18, 2019.

Source

R
C++

View GitHub Mirror

Release History