varEst: Estimate the variance of beta-binomial vital rates

In popbio: Construction and Analysis of Matrix Population Models

Estimate the variance of beta-binomial vital rates

Description

Finds the best estimates of mean and environmental variance for beta-binomial vital rates using the approximation method of Akcakaya (2002)

Usage

varEst(rates, weighted = 1)

Arguments

rates	a matrix or dataframe with four columns: Rate identifier, Year, Total number of starting individuals, Number surviving (or growing)
weighted	either 1 for weighted average demographic variance, or 0 for unweighted average, default is 1

Value

A matrix with 3 columns: (1) total observed variance, (2) estimate of variance due to demographic stochasticity, and (3) estimate of variance due to environmental stochasticity.

Author(s)

Patrick Nantel, 20 June 2005. Last modified May 1st 2007.

References

Akcakaya, H. R. 2002. Estimating the variance of survival rates and fecundities. Animal Conservation 5: 333-336.

Kendall, B. E. 1998. Estimating the magnitude of environmental stochasticity in survivorship data. Ecological Applications 8(1): 184-193.

See Also

Kendall

Examples

varEst(woodpecker)

popbio documentation built on May 29, 2024, 4:35 a.m.