skbio.diversity.alpha.
lladser_pe
(counts, r=10)[source]¶Calculate single point estimate of conditional uncovered probability.
State: Experimental as of 0.4.0.
counts (1-D array_like, int) – Vector of counts.
r (int, optional) – Number of new colors that are required for the next prediction.
Single point estimate of the conditional uncovered probability. May be
np.nan
if a point estimate could not be computed.
double
See also
Notes
This function is just a wrapper around the full point estimator described in Theorem 2 (i) in 1, intended to be called for a single best estimate on a complete sample. This function is not guaranteed to return estimated uncovered probabilities less than 1 if the coverage is too low.
References
Lladser, Gouet, and Reeder, “Extrapolation of Urn Models via Poissonization: Accurate Measurements of the Microbial Unknown” PLoS 2011.