spatialrisk {spatrisk}R Documentation

Estimation of the spatial voting under uncertainty model

Description

spatialrisk is estimates the model described in Lewis and Berinsky (2007).

Usage

spatialrisk(y,x,issues,controls,integrationSampleSize,
                        issuelab=sapply(1:100,function(i) sprintf("Issue 
                        controllab=sapply(1:100,function(i) sprintf("Control 
                        riskvar=FALSE, param=c(1.0, 0.0, 0.0, 0.0, 0.1,rep(0,issues),rep(0,controls))
                        ,...)                           

Arguments

y vector of vote choices, -1 or 1.
x matrix of covariate (specific format see examples).
issues (integer) number of issues
integrationSampleSize (integer) Number of Monte Carlo draws to use in each dim of each obs integral.
issuelab Vector of issue labels.
controllab Vector of control variable labels.
riskvar True/False vector noting if x includes a riskvar column.
normal integer, '1' generates data using normal probabilities,
param Vector of start values.
priors Length 6 vector containing three prior means and the three prior standard deviations for parameters alpha, gamma, and delta.
... NLM parameters.

Value

Usual type output

Author(s)

Jeffrey Lewis jblewis@ucla.edu

Examples

        library("spatrisk")
        data("pres76")
        res<-spatialrisk(pres76[,1],pres76[,2:dim(pres76)[2]],issues=3,controls=3,
                         integrationSampleSize=5,riskvar=FALSE,
                         print.level=2)

[Package spatrisk version 0.2-0 Index]