BCT: ML – R documentation

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ML

Maximum Likelihood

Computes the logarithm of the likelihood of the observations, maximised over all models and parameters.

ML(input_data, depth)

`input_data`	the sequence to be analysed. The sequence needs to be a "character" object. See the examples section of the BCT/kBCT functions on how to transform any dataset to a "character" object.
`depth`	maximum memory length.

returns the natural logarithm of the maximum likelihood.

# Computing the maximum likelihood of the gene_s dataset 
# with a maximum depth of 5:
ML(gene_s, 5)

Bayesian Context Trees for Discrete Time Series

v1.1

GPL (>= 2)

Authors

Ioannis Papageorgiou, Valentinian Mihai Lungu, Ioannis Kontoyiannis

Initial release

2020-12-04