probitnoinflpost {bayess} | R Documentation |
This function computes the logarithm of the posterior density associated with a probit model and the non-informative prior used in Chapter 4.
probitnoinflpost(beta, y, X)
beta |
parameter of the probit model |
y |
binary response variable |
X |
covariate matrix |
returns the logarithm of the posterior density associated with a
logit model for the data y
,
covariate matrix X
and parameter beta
data(bank)
y=bank[,5]
X=as.matrix(bank[,-5])
probitnoinflpost(runif(4),y,X)