``endorse: R Package for Analyzing Endorsement Experiments''

 

  Abstract

This R package implements the statistical model proposed by Bullock, Imai, and Shapiro (2011; Political Analysis) to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with the Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.

  Current Version

The current version is 1.0 (built on 01/16/12) which runs on R 2.14.0 and higher. The source code and the documentation are available for download from The Comprehensive R Archive Network (CRAN).

  Installation

Regardless of one's operating system, the software can be installed by typing the following command at R prompt:

> install.packages("endorse")

This will install the latest version from CRAN.

© Kosuke Imai
Last modified: Tue Dec 13 13:23:01 EST 2011