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hub / github.com/b45ch1/algopy / get_log_likelihood

Function get_log_likelihood

documentation/sphinx/examples/codon_model.py:617–628  ·  view source on GitHub ↗

The stationary distribution of P is empirically derived. It is proportional to the codon counts by construction. @param P: a transition matrix using codon counts and free parameters @param v: stationary distribution proportional to observed codon counts @param subs_counts: obser

(P, v, subs_counts)

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Callers 1

eval_fFunction · 0.85

Calls 3

slow_partFunction · 0.85
logMethod · 0.45
sumMethod · 0.45

Tested by

no test coverage detected