kblock_kern: K-Block Kernel
In tbonza/supml: "Algorithms for Supervised Machine Learning"
Description
Usage
Arguments
Details
Value
Description
Special case of a kernel used for estimating spatial
relationships to assess similarity of geographically
proximate neighbors.
Usage
1
kblock_kern(i, j, m, k)
Arguments
i
row position in matrix
j
column position in matrix
m
boolean spatial matrix
k
integer, size of window
Details
Current implementation is used in Bayesian classification.
NOTE that the author is currently unaware of this
kernel being available in the literature.
For more details see the help vignette:
vignette("homophily-kernel", package = "supml")
Value
TRUE if window exists, otherwise FALSE
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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Description Usage Arguments Details Value
Description
Special case of a kernel used for estimating spatial relationships to assess similarity of geographically proximate neighbors.
Usage
1 | kblock_kern(i, j, m, k)
|
Arguments
i |
row position in matrix |
j |
column position in matrix |
m |
boolean spatial matrix |
k |
integer, size of window |
Details
Current implementation is used in Bayesian classification. NOTE that the author is currently unaware of this kernel being available in the literature.
For more details see the help vignette:
vignette("homophily-kernel", package = "supml")
Value
TRUE if window exists, otherwise FALSE
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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