d_biv_normal: Produce weights for bivariate normal kernel for upper left...
In atredennick/sageAbundance: Fits population model for sagebrush based on remote sensing data.
Description
Usage
Arguments
Value
Author(s)
Description
Produce weights for bivariate normal kernel for upper left triangular quadrant
To save computing time, some building blocks are passed into
the function
Usage
1
d_biv_normal(Tmp.vec, XY, Sigma)
Arguments
Tmp.vec
A length n vector for holding integrals of bivariate normal
XY
2xn matrix giving x and y distances
Sigma
vector of length 2 giving sd of bivariate normal in the x and y directions
Value
a filled vector that holds unnormalized redistribution kernel values
Author(s)
Paul Conn paul.conn@noaa.gov
atredennick/sageAbundance documentation built on May 10, 2019, 2:11 p.m.
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Description Usage Arguments Value Author(s)
Description
Produce weights for bivariate normal kernel for upper left triangular quadrant To save computing time, some building blocks are passed into the function
Usage
1 | d_biv_normal(Tmp.vec, XY, Sigma)
|
Arguments
Tmp.vec |
A length n vector for holding integrals of bivariate normal |
XY |
2xn matrix giving x and y distances |
Sigma |
vector of length 2 giving sd of bivariate normal in the x and y directions |
Value
a filled vector that holds unnormalized redistribution kernel values
Author(s)
Paul Conn paul.conn@noaa.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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