stoch.growth.rate: Log stochastic growth rate

In popbio: Construction and Analysis of Matrix Population Models

Description

Calculates the log stochastic growth rate by Tuljapukar's approximation and by simulation

Usage

stoch.growth.rate(matrices, prob = NULL, maxt = 50000,
  verbose = TRUE)

Arguments

matrices	a list with two or more projection matrices, or a matrix with one projection matrix per column, with elements filled by columns
prob	a vector of probability weights used by sample for selecting the projection matrices, defaults to equal probabilities
maxt	number of time intervals, default 50000
verbose	Print comment at start of time 1, 10000, 20000, etc.

Details

converted Matlab code from Box 7.4 in Morris and Doak (2002)

Value

A list with 3 items

approx	log stochastic growth rate by Tuljapukar's approximation
sim	log stochastic growth rate by simulation
sim.CI	confindence interval for simulation

Author(s)

Chris Stubben

References

Morris, W. F., and D. F. Doak. 2002. Quantitative conservation biology: Theory and practice of population viability analysis. Sinauer, Sunderland, Massachusetts, USA.

See Also

stoch.projection to output population sizes from simulation

Examples

sgr <- stoch.growth.rate(hudsonia)
sgr
exp(sgr$approx)

popbio documentation built on March 26, 2020, 8:44 p.m.