march.AIC: Compute Akaike Information Criterion (AIC). The AIC (Akaike...
In march: Markov Chains
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/march.diagnostic.R
Description
Compute Akaike Information Criterion (AIC).
The AIC (Akaike Information Criterion) is computed for
a given march.Model-class according to the data
used during construction.
Usage
1
march.AIC(model)
Arguments
model
The model for which the AIC has to be computed.
Value
The number of parameters of the given model and its AIC.
Author(s)
Ogier Maitre
Examples
1
2
indepModel <- march.indep.construct(pewee)
march.AIC(indepModel)
Example output
march documentation built on Nov. 26, 2020, 3:01 p.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/march.diagnostic.R
Description
Compute Akaike Information Criterion (AIC).
The AIC (Akaike Information Criterion) is computed for
a given march.Model-class according to the data
used during construction.
Usage
1 | march.AIC(model)
|
Arguments
model |
The model for which the AIC has to be computed. |
Value
The number of parameters of the given model and its AIC.
Author(s)
Ogier Maitre
Examples
1 2 | indepModel <- march.indep.construct(pewee)
march.AIC(indepModel)
|
Example output
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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