block.cv: STARX: spatiotemporal autoregressive model with exogenous...
In funstatpackages/STARX: Spatiotemporal Autoregressive Model with Exogenous Variables
Description
Usage
Arguments
Value
Description
This function generates testing sets for blockwise cross-validation
in spatiotemporal data analysis.
Usage
1
block.cv(locations, nblock.x, nblock.y, nblock.t, nfold)
Arguments
locations
A matrix with three columns stores the
locations of data points. The first two columns are spatial locations.
nblock.x
Number of bins in x-dimension.
nblock.y
Number of bins in y-dimension.
nblock.t
Number of bins in t-dimension. The total number of
blocks is equal to nblock.x * nblock.y * nblock.t
nfold
Number of folds in cross-validation.
Value
Fold
A list of length nfold. Each list contains the
index of data points in the testing set.
funstatpackages/STARX documentation built on Jan. 30, 2021, 11:47 p.m.
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Description Usage Arguments Value
Description
This function generates testing sets for blockwise cross-validation in spatiotemporal data analysis.
Usage
1 | block.cv(locations, nblock.x, nblock.y, nblock.t, nfold)
|
Arguments
locations |
A matrix with three columns stores the locations of data points. The first two columns are spatial locations. |
nblock.x |
Number of bins in x-dimension. |
nblock.y |
Number of bins in y-dimension. |
nblock.t |
Number of bins in t-dimension. The total number of
blocks is equal to |
nfold |
Number of folds in cross-validation. |
Value
Fold |
A list of length |
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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