| qnprob {wnominate} | 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
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