simdata: Simulated nonstationary dataset
In markdrisser/convoSPAT: Convolution-Based Nonstationary Spatial Modeling
Description
A data set containing the necessary components to fit the nonstationary
spatial model, simulated from the true model.
Usage
1
Format
A list with the following objects:
- sim.locations
A matrix of longitude/latitude coordinates of the
simulated locations.
- mc.locations
A matrix of longitude/latitude coordinates of the
mixture component locations.
- mc.kernel
A three-dimensional array, containing the true 2 x 2
kernel covariance matrices for each mixture component location.
- kernel.ellipses
A three-dimensional array, containing the true 2 x 2
kernel covariance matrices for each simulated location.
- sim.data
A matrix of the simulated data; each of the ten columns
correspond to an independent and identically distribured replicate.
- lambda.w
Scalar; the value of the tuning parameter used in the
weight function.
- holdout.index
Vector; indicates which of the simulated locations
should be used in the hold-out sample.
markdrisser/convoSPAT documentation built on May 21, 2019, 11:48 a.m.
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Description
A data set containing the necessary components to fit the nonstationary spatial model, simulated from the true model.
Usage
1 |
Format
A list with the following objects:
- sim.locations
A matrix of longitude/latitude coordinates of the simulated locations.
- mc.locations
A matrix of longitude/latitude coordinates of the mixture component locations.
- mc.kernel
A three-dimensional array, containing the true 2 x 2 kernel covariance matrices for each mixture component location.
- kernel.ellipses
A three-dimensional array, containing the true 2 x 2 kernel covariance matrices for each simulated location.
- sim.data
A matrix of the simulated data; each of the ten columns correspond to an independent and identically distribured replicate.
- lambda.w
Scalar; the value of the tuning parameter used in the weight function.
- holdout.index
Vector; indicates which of the simulated locations should be used in the hold-out sample.
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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