fsd.covariance: Estimate autocovariance operators

In kuenzer/fsd: Functional Spatial Data: Spatial Functional PCA

Description

This function is used to estimate a covariance operator of stationary functional spatial data with respect to some lag h.

Usage

fsd.covariance(Y = NULL, h, centered = FALSE, na.rm = FALSE, unbiased = FALSE)

Arguments

Y	the functional spatial data. Either an fd object or an array.
h	the spatial lag with respect to which the autocovariance is to be estimated.
centered	a boolean indicating whether or not the data is already centered.
na.rm	whether or not missing values should be ignored.
unbiased	whether or not to scale the estimator to be unbiased. FALSE by default. Is not used if na.rm is TRUE.

Value

the covariance matrix.

Examples

## Not run: 
fsd.covariance(Y, h)

## End(Not run)

kuenzer/fsd documentation built on July 21, 2020, 1:57 p.m.