summary.NNGP: Methods for NNGP and Derived Objects

In spNNGP: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

Methods for NNGP and Derived Objects

Description

Methods for extracting information from fitted NNGP model of class NNGP and predict.NNGP objects from predict.

Usage

## S3 method for class '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 class 'NNGP'
print(x, ...)
## S3 method for class 'predict.NNGP'
print(x, ...)

Arguments

object, x	object of class NNGP or predict.NNGP.
sub.sample	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.
quantiles	for summary, posterior distribution quantiles to compute.
digits	for summary, number of digits to report in summary.
...	currently not used.

Details

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.

spNNGP documentation built on June 27, 2022, 5:06 p.m.