stoch.growth.rate {popbio}R Documentation

Calculate log stochastic growth rate

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.

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

Source

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

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

data(hudsonia)
sgr<-stoch.growth.rate(hudsonia)
sgr

exp(sgr$approx)


[Package popbio version 1.1.11 Index]