skbio.math.diversity.alpha.lladser_pe

skbio.math.diversity.alpha.lladser_pe(counts, r=10)[source]

Calculate single point estimate of conditional uncovered probability.

Parameters:

counts : 1-D array_like, int

Vector of counts.

r : int, optional

Number of new colors that are required for the next prediction.

Returns:

double

Single point estimate of the conditional uncovered probability. May be np.nan if a point estimate could not be computed.

See also

lladser_ci

Notes

This function is just a wrapper around the full point estimator described in Theorem 2 (i) in [R51], intended to be called for a single best estimate on a complete sample.

References

[R51](1, 2) Lladser, Gouet, and Reeder, “Extrapolation of Urn Models via Poissonization: Accurate Measurements of the Microbial Unknown” PLoS 2011.