x-Coordinates of the grid on which the data is observed.

y-Coordinates of the grid on which the data is observed.

An array of dimension c(length(x),length(y),n) containing the 
realizations of the field.

cont

The number of Bootstrap realizations to produce. Default is 1000.

Computes Multiplier Bootstrap realizations of the supremum of a Gaussian 
field on a contour.

MBContour

Provides functions to  compute and plot Coverage
Probability Excursion (CoPE) sets
for real valued functions on a 2-dimensional domain. CoPE sets are obtained
from repeated noisy observations of the function on the entire domain.
They are designed to bound the excursion
set of the target function at a given level from above and below with
a predefined probability. The target
function can be a parameter in spatially-indexed linear regression.
Support by NIH grant R01 CA157528 is gratefully acknowledged.

MBContour: Computes Multiplier Bootstrap realizations of the supremum of a Gaussian

Description

Usage

Arguments

Value