index_chao1: Chao1 Estimator

In tabula: Analysis and Visualization of Archaeological Count Data

Chao1 Estimator

Description

Chao1 Estimator

Usage

index_chao1(x, ...)

## S4 method for signature 'numeric'
index_chao1(x, unbiased = FALSE, improved = FALSE, na.rm = FALSE, ...)

Arguments

x	A numeric vector of count data (absolute frequencies).
...	Currently not used.
unbiased	A logical scalar: should the bias-corrected estimator be used?
improved	A logical scalar: should the improved estimator be used?
na.rm	A numeric scalar: should missing values (including NaN) be removed?

Value

A numeric vector.

Author(s)

N. Frerebeau

References

Chao, A. (1984). Nonparametric Estimation of the Number of Classes in a Population. Scandinavian Journal of Statistics, 11(4), 265-270.

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("10.1111/biom.12200")}.

See Also

Other alpha diversity measures: index_ace(), index_baxter(), index_berger(), index_boone(), index_brillouin(), index_chao2(), 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.