endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments
Version 1.5.2

Fit the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) 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 a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.

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AuthorYuki Shiraito [aut, cre], Kosuke Imai [aut], Bryn Rosenfeld [ctb]
Date of publication2017-04-19 03:59:13 UTC
MaintainerYuki Shiraito <shiraito@princeton.edu>
LicenseGPL (>= 2)
Version1.5.2
URL http://imai.princeton.edu/software/endorse.html
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("endorse")

Man pages

endorse: Fitting the Measurement Model of Political Support via Markov...
endorse.plot: Descriptive Plot of Endorsement Experiment Data
GeoCount: Counting Violent Incidents around Villages
pakistan: Pakistan Survey Experiment on Support for Militant Groups

Functions

GeoCount Man page Source code
endorse Man page Source code
endorse.plot Man page Source code
pakistan Man page

Files

src
src/Makevars
src/rand.h
src/rand.c
src/subroutines.c
src/vector.c
src/vector.h
src/subroutines.h
src/geodist.c
src/models.h
src/geodist.h
src/init.c
src/endorse.c
src/models.c
NAMESPACE
data
data/pakistan.RData
R
R/onAttach.R
R/endorse.plot.R
R/GeoCount.R
R/endorse.R
MD5
DESCRIPTION
ChangeLog
man
man/endorse.Rd
man/endorse.plot.Rd
man/GeoCount.Rd
man/pakistan.Rd
endorse documentation built on May 19, 2017, 9:38 p.m.