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## Package de.jstacs.scoringFunctions.homogeneous

Provides `ScoringFunction`s that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence

See:
Description

Class Summary
HMM0ScoringFunction | This scoring function implements a homogeneous Markov model of order zero (hMM(0)) for a fixed sequence length.
HMMScoringFunction | This scoring function implements a homogeneous Markov model of arbitrary order for any sequence length.
HomogeneousScoringFunction | This is the main class for all homogeneous `ScoringFunction`s.
UniformHomogeneousScoringFunction | This scoring function does nothing.

## Package de.jstacs.scoringFunctions.homogeneous Description

Provides `ScoringFunction`s that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence.

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