aic: Akaike Information Criterion (AIC)
In drimmR: Estimation, Simulation and Reliability of Drifting Markov Models
aic R Documentation
Akaike Information Criterion (AIC)
Description
Generic function computing the Akaike Information Criterion of
the model x, with the list of sequences sequences.
Usage
aic(x, sequences, ncpu = 2)
Arguments
x
An object for which the log-likelihood of the DMM can be computed.
sequences
A vector of characters or a list of vector of characters representing the sequences for which the AIC will be computed based on x.
ncpu
Default=2. Represents the number of cores used to parallelized computation. If ncpu=-1, then it uses all available cores.
Value
A list of AIC (numeric)
Author(s)
Victor Mataigne, Alexandre Seiller
References
\insertRefBaVe2018drimmR
\insertRefVer08drimmR
drimmR documentation built on Oct. 9, 2026, 5:08 p.m.
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| aic | R Documentation |
Akaike Information Criterion (AIC)
Description
Generic function computing the Akaike Information Criterion of
the model x, with the list of sequences sequences.
Usage
aic(x, sequences, ncpu = 2)
Arguments
x |
An object for which the log-likelihood of the DMM can be computed. |
sequences |
A vector of characters or a list of vector of characters representing the sequences for which the AIC will be computed based on |
ncpu |
Default=2. Represents the number of cores used to parallelized computation. If ncpu=-1, then it uses all available cores. |
Value
A list of AIC (numeric)
Author(s)
Victor Mataigne, Alexandre Seiller
References
\insertRefBaVe2018drimmR \insertRefVer08drimmR
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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