glm.predict: Donwscaling with a given generalized linear model (GLM).
In SantanderMetGroup/downscaleR: A climate4R package for statistical downscaling <http://meteo.unican.es/climate4r>
glm.predict R Documentation
Donwscaling with a given generalized linear model (GLM).
Description
Donwscaling with a given generalized linear models (GLM) calculated in downscalePredict via glm.train.
Usage
glm.predict(x, weights, info, simulate)
Arguments
x
The grid data. Class: matrix.
weights
Object as returned from glm.train
info
A list containing information of the experiment: the fitting, the family of the generalized linear model and
if it is deterministic or stochastic.
simulate
A logic value indicating whether we want a stochastic or a deterministic GLM. Stochastic GLMs only accept gamma
Details
Predicts by using the base function predict. This function is internal and should not be used by the user.
The user should use downscalePredict.
Value
The predicted matrix.
Author(s)
J. Bano-Medina
SantanderMetGroup/downscaleR documentation built on Nov. 16, 2024, 1:35 a.m.
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| glm.predict | R Documentation |
Donwscaling with a given generalized linear model (GLM).
Description
Donwscaling with a given generalized linear models (GLM) calculated in downscalePredict via glm.train.
Usage
glm.predict(x, weights, info, simulate)
Arguments
x |
The grid data. Class: matrix. |
weights |
Object as returned from |
info |
A list containing information of the experiment: the fitting, the family of the generalized linear model and if it is deterministic or stochastic. |
simulate |
A logic value indicating whether we want a stochastic or a deterministic GLM. Stochastic GLMs only accept gamma |
Details
Predicts by using the base function predict. This function is internal and should not be used by the user.
The user should use downscalePredict.
Value
The predicted matrix.
Author(s)
J. Bano-Medina
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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