skbio.diversity.alpha.lladser_pe

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

Calculate single point estimate of conditional uncovered probability.

State: Experimental as of 0.4.0.

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

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

Return type

double

See also

lladser_ci()

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

1

Lladser, Gouet, and Reeder, “Extrapolation of Urn Models via Poissonization: Accurate Measurements of the Microbial Unknown” PLoS 2011.