localmean.df: Internal Function: Degrees of Freedom for Local Mean...
In mhweber/spsurvey: Spatial Survey Design and Analysis
Description
Usage
Arguments
Value
Author(s)
Description
This function calculates the degrees of freedom of the local mean variance-
covariance estimator.
Usage
1
localmean.df(weight.lst)
Arguments
weight.lst
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 degrees of freedom of the local mean variance-covariance
estimator.
Author(s)
Tom Kincaid Kincaid.Tom@epa.gov
mhweber/spsurvey documentation built on Sept. 17, 2020, 4:24 a.m.
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Description Usage Arguments Value Author(s)
Description
This function calculates the degrees of freedom of the local mean variance- covariance estimator.
Usage
1 | localmean.df(weight.lst)
|
Arguments
weight.lst |
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 degrees of freedom of the local mean variance-covariance estimator.
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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