| aic {drimmR} | 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
Barbu VS, Vergne N (2018). “Reliability and survival analysis for drifting Markov models: modelling and estimation.” Methodology and Computing in Applied Probability, 1–33. doi: 10.1007/s11009-018-9682-8, https://doi.org/10.1007/s11009-018-9682-8. Vergne N (2008). “Drifting Markov models with polynomial drift and applications to DNA sequences.” Statistical Applications in Genetics Molecular Biology , 7(1) . doi: 10.2202/1544-6115.1326, https://doi.org/10.2202/1544-6115.1326.