Methods for extracting information from fitted NNGP model of class
NNGP and predict.NNGP objects from predict.
# S3 method for NNGP
summary(object, sub.sample, quantiles = c(0.025, 0.25,
0.5, 0.75, 0.975), digits = max(3L, getOption("digits") - 3L), ...)
# S3 method for NNGP
print(x, ...)
# S3 method for predict.NNGP
print(x, ...)
object of class NNGP or predict.NNGP.
an optional list that specifies the samples to included in
the summary or composition sampling. Valid tags are start,
end, and thin. Given the value associated with the tags,
the sample subset is selected using seq(as.integer(start),
as.integer(end), by=as.integer(thin)). The default values are
start=floor(0.5*n.samples), end=n.samples and thin=1.
for summary, posterior distribution quantiles to compute.
for summary, number of digits to report in summary.
currently not used.
A set of standard extractor functions for fitted model objects of
class NNGP and prediction object of class predict.NNGP, including methods to the generic functions print and summary.