qnprob: Qudaratic Normal Probability Matrix Generator
In wnominate: Roll Call Analysis Software

View source: R/wnominate.R

qnprob

R Documentation

Qudaratic Normal Probability Matrix Generator

Description

qnprob takes estimates from the Quadratic Normal model and returns a matrix of yeah choice probabilities. It is used to generate a test rollcall object using generateTestData. The function is set up to take identical arguments to nomprob, which explains why many of the arguments do not do anything.

Usage

qnprob(yea,nay,ideal,Beta,dimweight,normal=1)

Arguments

For items below, m is the number of roll calls, n the number of legislators, and d the number of dimensions.

`yea`	m x d matrix of yeah locations.
`nay`	m x d matrix of no locations.
`ideal`	n x d matrix of legislator ideal points.
`Beta`	Ignored.
`dimweight`	Ignored.
`normal`	integer, '1' generates data using normal probabilities, any other value generates data using logistic probabilities.

Value

An n x m matrix of probabilities giving the probability of yea for each of n legislators on each of m votes

Author(s)

Keith Poole ktpoole@uga.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo lojames@usc.edu

Royce Carroll rcarroll@rice.edu

Examples


    yp <- matrix(rep(0,10),nrow=10)
    np <- matrix(rep(0.1,10),nrow=10)
    ideal <- matrix(rep(0,10),nrow=10)
    qnprob(yp,np,ideal,15,0.5)    #a matrix of yea probabilities

wnominate documentation built on June 22, 2024, 9:09 a.m.