localmean_cov: Internal Function: Variance-Covariance Matrix Based on Local...
In spsurvey: Spatial Sampling Design and Analysis
View source: R/localmean_cov.R
localmean_cov R Documentation
Internal Function: Variance-Covariance Matrix Based on Local Mean Estimator
Description
This function calculates the variance-covariance matrix using the local mean
estimator.
Usage
localmean_cov(zmat, weight_1st)
Arguments
zmat
Matrix of weighted response values or weighted residual values
for the sample points.
weight_1st
List from the local mean weight function containing two
elements: a matrix named ij composed of the index values of neighboring
points and a vector named gwt composed of weights.
Value
The local mean estimator of the variance-covariance matrix.
Author(s)
Tom Kincaid Kincaid.Tom@epa.gov
spsurvey documentation built on May 31, 2023, 6:25 p.m.
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View source: R/localmean_cov.R
| localmean_cov | R Documentation |
Internal Function: Variance-Covariance Matrix Based on Local Mean Estimator
Description
This function calculates the variance-covariance matrix using the local mean estimator.
Usage
localmean_cov(zmat, weight_1st)
Arguments
zmat |
Matrix of weighted response values or weighted residual values for the sample points. |
weight_1st |
List from the local mean weight function containing two
elements: a matrix named |
Value
The local mean estimator of the variance-covariance matrix.
Author(s)
Tom Kincaid Kincaid.Tom@epa.gov
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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