coxprocess_model: Construct log-Gaussian Cox process model
In jeremyhengjm/UnbiasedMultilevel: Unbiased estimators for discretized models
Description
Usage
Arguments
Value
View source: R/coxprocess_model.R
Description
Construct log-Gaussian Cox process model at a given spatial resolution
Usage
1
coxprocess_model(parameters, dataset, level)
Arguments
parameters
a list of model parameters (sigmasq, mu, beta)
dataset
a list of observed spatial locations
level
an integer that determines the spatial resolution
Value
a list containing the keys dimension, ngrid, logtarget, gradlogtarget, rinit and gradient_parameters
jeremyhengjm/UnbiasedMultilevel documentation built on Dec. 20, 2021, 11:03 p.m.
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Description Usage Arguments Value
View source: R/coxprocess_model.R
Description
Construct log-Gaussian Cox process model at a given spatial resolution
Usage
1 | coxprocess_model(parameters, dataset, level)
|
Arguments
parameters |
a list of model parameters (sigmasq, mu, beta) |
dataset |
a list of observed spatial locations |
level |
an integer that determines the spatial resolution |
Value
a list containing the keys dimension, ngrid, logtarget, gradlogtarget, rinit and gradient_parameters
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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