index_chao2: Chao2 Estimator

In tabula: Analysis and Visualization of Archaeological Count Data

Chao2 Estimator

Description

Chao2 Estimator

Usage

index_chao2(x, ...)

## S4 method for signature 'matrix'
index_chao2(x, unbiased = FALSE, improved = FALSE, ...)

Arguments

x	A m \times p matrix of presence/absence data (incidence).
...	Currently not used.
unbiased	A logical scalar: should the bias-corrected estimator be used?
improved	A logical scalar: should the improved estimator be used?

Value

A numeric vector.

Author(s)

N. Frerebeau

References

Chao, A. (1987). Estimating the Population Size for Capture-Recapture Data with Unequal Catchability. Biometrics 43(4), 783-791.

Chiu, C.-H., Wang, Y.-T., Walther, B. A. & Chao, A. (2014). An improved nonparametric lower bound of species richness via a modified good-turing frequency formula. Biometrics, 70(3), 671-682. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2531532")}.

See Also

Other alpha diversity measures: index_ace(), index_baxter(), index_berger(), index_boone(), index_brillouin(), index_chao1(), index_hurlbert(), index_ice(), index_margalef(), index_mcintosh(), index_menhinick(), index_shannon(), index_simpson(), index_squares(), observed()

tabula documentation built on April 4, 2025, 5:09 a.m.