strattest: Consistency Tests for the Abundance Estimator, Complete...

Description Usage Arguments Value Note Author(s) See Also Examples

View source: R/consistency.R

Description

Conducts two chi-squared tests for the consistency of the Petersen-type abundance estimator. These tests provide explore evidence against equal capture probabilities in either the first or second sampling event. Also conducts a third chi-squared test of unequal capture probabilities between sampling events for each stratum, in the case of small sample sizes (fewer than 100 in either sampling event and fewer than 30 recaptures), which may be used to suggest unequal capture probabilities in either the first or second event.

Typically, if either of the first two test p-values is greater than the significance level, use of a Petersen-type estimator is considered justified.

If tests give evidence of unequal capture probabilities between strata, a stratified estimator should be used, such as Nstrat.

This function assumes stratification in both sampling events, such that individuals cannot move from one strata to another (such as by size or gender). If movement between strata may occur (such as in the case of stratification by time or area), use of consistencytest is recommended.

Usage

1
strattest(n1, n2, m2, ...)

Arguments

n1

Vector of n1 counts (sample size in the first event), each element corresponding to one stratum.

n2

Vector of n2 counts (sample size in the second event), each element corresponding to one stratum.

m2

Vector of m2 counts (number of recaptures in the second event), each element corresponding to one stratum.

...

Additional arguments for chisq.test

Value

A list of class "recapr_strattest" with the following components:

Note

Any Petersen-type estimator (such as this) depends on a set of assumptions:

Author(s)

Matt Tyers

See Also

powstrattest, Nstrat, consistencytest

Examples

1
strattest(n1=c(100,100), n2=c(50,200), m2=c(20,15))

mbtyers/recapr documentation built on Sept. 13, 2021, 11:54 a.m.