sarpois.filoglik: Full-information maximum likelihood function for spatial...
In gregmacfarlane/sppois: Spatial Autoregressive Poisson Modeling
Description
Usage
Arguments
Value
Description
Full-information maximum likelihood function for spatial poisson
Usage
1
sarpois.filoglik(p, y, X, W)
Arguments
p
Parameter vector consisting of rho, and any betas.
y
n-length vector of dependent values
X
n \times p matrix of independent covariates, created by
model.matrix
W
A CsparseMatrix representation of the weights objects.
Value
A numeric calculation of the model likelihood.
gregmacfarlane/sppois documentation built on June 11, 2021, 10:55 a.m.
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Description Usage Arguments Value
Description
Full-information maximum likelihood function for spatial poisson
Usage
1 | sarpois.filoglik(p, y, X, W)
|
Arguments
p |
Parameter vector consisting of rho, and any betas. |
y |
n-length vector of dependent values |
X |
n \times p matrix of independent covariates, created by model.matrix |
W |
A CsparseMatrix representation of the weights objects. |
Value
A numeric calculation of the model likelihood.
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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