simulatedData_withcov: Simulated dataset 1 with covariates
In meixichen/SpatialGEV: Fit Spatial Generalized Extreme Value Models
simulatedData_withcov R Documentation
Simulated dataset 1 with covariates
Description
A list of data used for package testing and demos. Both a and logb are simulated on smooth
deterministic surfaces depending linearly on two covariates.
Usage
simulatedData_withcov
Format
A list containing the simulation parameters and simulated data on a 20x20 grid:
- locs
A 400x2 matrix. First column contains longitudes and second contains latitudes
- a
A length 400 vector. GEV location parameters
- logb
A length 400 vector. Log-transformed GEV scale parameters
- logs
A scalar. Log-transformed GEV shape parameter shared across space
- y
A length 400 list of vectors which are observations simulated at
each location
- beta_a
A length 3 vector containing the regression coefficients for
a, with the first element being the intercept, the second element as the
coefficient for covariate 1, and the third for covariate 2
- beta_b
A length 2 vector containing the regression coefficients for
b, with the first element being the intercept and the second element as the
coefficient for covariate 1
- covariates
A 400x3 design matrix containing the covariates, with the
first column being all 1s for intercept
meixichen/SpatialGEV documentation built on Nov. 10, 2024, 12:23 a.m.
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| simulatedData_withcov | R Documentation |
Simulated dataset 1 with covariates
Description
A list of data used for package testing and demos. Both a and logb are simulated on smooth
deterministic surfaces depending linearly on two covariates.
Usage
simulatedData_withcov
Format
A list containing the simulation parameters and simulated data on a 20x20 grid:
- locs
A 400x2 matrix. First column contains longitudes and second contains latitudes
- a
A length 400 vector. GEV location parameters
- logb
A length 400 vector. Log-transformed GEV scale parameters
- logs
A scalar. Log-transformed GEV shape parameter shared across space
- y
A length 400 list of vectors which are observations simulated at each location
- beta_a
A length 3 vector containing the regression coefficients for a, with the first element being the intercept, the second element as the coefficient for covariate 1, and the third for covariate 2
- beta_b
A length 2 vector containing the regression coefficients for b, with the first element being the intercept and the second element as the coefficient for covariate 1
- covariates
A 400x3 design matrix containing the covariates, with the first column being all 1s for intercept
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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