summary method for the class "Bayes.PrevMap" that computes the posterior mean, median, mode and high posterior density intervals using samples from Bayesian fits.
# S3 method for Bayes.PrevMap
summary(object, hpd.coverage = 0.95, ...)an object of class "Bayes.PrevMap" obatained as result of a call to binomial.logistic.Bayes or linear.model.Bayes.
value of the coverage of the high posterior density intervals; default is 0.95.
further arguments passed to or from other methods.
A list with the following values
linear: logical value that is TRUE if a linear model was fitted and FALSE otherwise.
binary: logical value that is TRUE if a binary model was fitted and FALSE otherwise.
probit: logical value that is TRUE if a binary model with probit link function was fitted and FALSE if with logistic link function.
ck: logical value that is TRUE if a low-rank approximation was fitted and FALSE otherwise.
beta: matrix of the posterior summaries for the regression coefficients.
sigma2: vector of the posterior summaries for sigma2.
phi: vector of the posterior summaries for phi.
tau2: vector of the posterior summaries for tau2.
call: matched call.
kappa: fixed value of the shape paramter of the Matern covariance function.