powstrattest: Power of Consistency Tests, Complete Stratification
In mbtyers/recapr: Two Event Mark-Recapture Experiment

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

Conducts power calculations of the chi-squared tests for the consistency of the Petersen-type abundance estimator, in a complete stratification setting.

1	powstrattest(N, n1, n2, alpha = 0.05, sim = TRUE, nsim = 1e+05)

`N`	Vector of total abundance, with each element corresponding to one stratum.
`n1`	Vector of anticipated n1 counts (sample size in the first event), each element corresponding to one stratum.
`n2`	Vector of anticipated n2 counts (sample size in the second event), each element corresponding to one stratum.
`alpha`	Significance level for testing. Defaults to `0.05`
`sim`	Whether to conduct power calculation by simulation as well as Cohen's method. Defaults to `TRUE`.
`nsim`	Number of simulations if `sim` is `TRUE`. Defaults to `100000`.

A list of three elements, each with class "recapr_stratpow" with the following components:

prob A vector of capture probabilities corresponding to the alternative hypothesis investigated
prob_null A vector of capture probabilities corresponding to the null hypothesis (all probabilities equal)
n The sample size used for the test
alpha The significance level used for testing
power The test power, calculated by Cohen's method
power_sim The test power, calculated via simulation

Matt Tyers

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.

Code adapted from the 'pwr' package: Stephane Champely (2015). pwr: Basic Functions for Power Analysis. R package version 1.1-3. https://CRAN.R-project.org/package=pwr

strattest, Nstrat