skbio.diversity.alpha.
lladser_ci
(counts, r, alpha=0.95, f=10, ci_type='ULCL')[source]¶Calculate single CI of the conditional uncovered probability.
State: Experimental as of 0.4.0.
Parameters: | counts : 1-D array_like, int
r : int
alpha : float, optional
f : float, optional
ci_type : {‘ULCL’, ‘ULCU’, ‘U’, ‘L’}
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Returns: | tuple
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See also
Notes
This function is just a wrapper around the full CI estimator described in Theorem 2 (iii) in [R33], intended to be called for a single best CI estimate on a complete sample.
References
[R33] | (1, 2) Lladser, Gouet, and Reeder, “Extrapolation of Urn Models via Poissonization: Accurate Measurements of the Microbial Unknown” PLoS 2011. |