data_sim: Simulated binomial data-set over the unit square
In barryrowlingson/PrevMap: Geostatistical Modelling of Spatially Referenced Prevalence Data
Description
This binomial data-set was simulated by generating a zero-mean Gaussian process over a 30 by 30 grid covering the unit square. The parameters used in the simulation are sigma2=1, phi=0.15 and kappa=2. The nugget effect was not included, hence tau2=0.
The variables are as follows:
y binomial observations.
units.m binomial denominators.
x1 horizontal coordinates.
x2 vertical coordinates.
S simulated values of the Gaussian process.
Usage
1
Format
A data frame with 900 rows and 5 variables
barryrowlingson/PrevMap documentation built on May 11, 2019, 6:24 p.m.
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Description
This binomial data-set was simulated by generating a zero-mean Gaussian process over a 30 by 30 grid covering the unit square. The parameters used in the simulation are sigma2=1, phi=0.15 and kappa=2. The nugget effect was not included, hence tau2=0.
The variables are as follows:
y binomial observations.
units.m binomial denominators.
x1 horizontal coordinates.
x2 vertical coordinates.
S simulated values of the Gaussian process.
Usage
1 |
Format
A data frame with 900 rows and 5 variables
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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