skbio.diversity.alpha.robbins¶
- skbio.diversity.alpha.robbins(counts)[source]¶
Calculate Robbins’ estimator for probability of unobserved outcomes.
State: Experimental as of 0.4.0.
Robbins’ estimator is defined as:
\[\frac{F_1}{n+1}\]where \(F_1\) is the number of singleton OTUs.
- Parameters
counts (1-D array_like, int) – Vector of counts.
- Returns
Robbins’ estimate.
- Return type
double
Notes
Robbins’ estimator is defined in 1. The estimate computed here is for \(n-1\) counts, i.e. the x-axis is off by 1.
References
- 1
Robbins, H. E (1968). Ann. of Stats. Vol 36, pp. 256-257.