wnominate (version 1.4)

qnprob: 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)

Value

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

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.

Author

Keith Poole

Jeffrey Lewis

James Lo

Royce Carroll

See Also

'generateTestData' and 'wnominate'.

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