Weng: A 313 by 313 proximity matrix for the 313 LADCUAS in England....
In sujit-sahu/bmstdr: Bayesian Modeling of Spatio-Temporal Data with R
Weng R Documentation
A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1
and is 1 if the corresponding row and column LADCUAs share a common boundary.
Description
A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1
and is 1 if the corresponding row and column LADCUAs share a common boundary.
Usage
Weng
Format
An object of class matrix (inherits from array) with 313 rows and 313 columns.
Source
\insertCiteSahuBohning2021;textualbmstdr.
References
\insertAllCited
Examples
dim(Weng)
summary(apply(Weng, 1, sum))
sujit-sahu/bmstdr documentation built on Jan. 30, 2024, 1:40 p.m.
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| Weng | R Documentation |
A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1 and is 1 if the corresponding row and column LADCUAs share a common boundary.
Description
A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1 and is 1 if the corresponding row and column LADCUAs share a common boundary.
Usage
Weng
Format
An object of class matrix (inherits from array) with 313 rows and 313 columns.
Source
\insertCiteSahuBohning2021;textualbmstdr.
References
\insertAllCitedExamples
dim(Weng)
summary(apply(Weng, 1, sum))
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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