index_ice: Incidence-based Coverage Estimator

In tabula: Analysis and Visualization of Archaeological Count Data

Incidence-based Coverage Estimator

Description

Incidence-based Coverage Estimator

Usage

index_ice(x, ...)

## S4 method for signature 'matrix'
index_ice(x, k = 10, ...)

Arguments

x	A m \times p matrix of presence/absence data (incidence).
...	Currently not used.
k	A length-one numeric vector giving the threshold between rare/infrequent and abundant/frequent species.

Value

A numeric vector.

Author(s)

N. Frerebeau

References

Chao, A. & Chiu, C.-H. (2016). Species Richness: Estimation and Comparison. In Balakrishnan, N., Colton, T., Everitt, B., Piegorsch, B., Ruggeri, F. & Teugels, J. L. (Eds.), Wiley StatsRef: Statistics Reference Online. Chichester, UK: John Wiley & Sons, Ltd., 1-26. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/9781118445112.stat03432.pub2")}

See Also

Other alpha diversity measures: index_ace(), index_baxter(), index_berger(), index_boone(), index_brillouin(), index_chao1(), index_chao2(), index_hurlbert(), index_margalef(), index_mcintosh(), index_menhinick(), index_shannon(), index_simpson(), index_squares(), observed()

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