LearnBayes (version 2.15.1)

bprobit.probs: Simulates fitted probabilities for a probit regression model

Description

Gives a simulated sample for fitted probabilities for a binary response regression model with a probit link and noninformative prior.

Usage

bprobit.probs(X1,fit)

Arguments

X1

matrix where each row corresponds to a covariate set

fit

simulated matrix of draws of the regression vector

Value

matrix of simulated draws of the fitted probabilities, where a column corresponds to a particular covariate set

Examples

# NOT RUN {
response=c(0,1,0,0,0,1,1,1,1,1)
covariate=c(1,2,3,4,5,6,7,8,9,10)
X=cbind(1,covariate)
m=1000
fit=bayes.probit(response,X,m)
x1=c(1,3)
x2=c(1,8)
X1=rbind(x1,x2)
fittedprobs=bprobit.probs(X1,fit$beta)
# }