skbio.diversity.alpha.goods_coverage

skbio.diversity.alpha.goods_coverage(counts)

Calculate Good’s coverage estimator.

Good’s coverage estimator \(C\), a.k.a. Turing estimator or Good- Turing (GT) estimator, is an estimation of the proportion of the population represented in the sample. It is defined as:

\[C = 1 - \frac{F_1}{N}\]

where \(F_1\) is the number of taxa observed only once (i.e., singletons) and \(N\) is the total number of individuals.

Parameters:

counts1-D array_like, int

Vector of counts.

Returns:

float

Good’s coverage estimator.

See also

esty_ci

robbins

Notes

Good’s coverage estimator was originally described in [1].

References

[1]

Good, I. J. (1953). The population frequencies of species and the estimation of population parameters. Biometrika, 40(3-4), 237-264.