03.Morris | R Documentation |
Chapter 3
grizzly
Table 3.1. Grizzly bear population counts. The example includes code to calculate mean, variance and confidence intervals using regression and other procedures
extCDF
Box 3.3. Count-based extinction time cumulative distribution function
countCDFxt
Box 3.4. Count-based extinction probabilities with bootstrap confidence intervals
Chapter 7
stoch.projection
Box 7.3. Project stochastic growth from a sequence of matrices
stoch.growth.rate
Box 7.4. Calculate the log stochastic growth rate by Tuljapukar's approximation and by simulation
stoch.quasi.ext
Box 7.5. Estimate quasi-extinction threshold
Chapter 8
Kendall
Box 8.2. Kendall's method to correct for sampling variation
betaval
Box 8.3. Generate beta-distributed random numbers
lnorms
Box 8.4. Generate random lognormal values
stretchbetaval
Box 8.5. Generate stretched beta-distributed random numbers
vitalsim
Box 8.10. Calculate stochastic growth rate and extinction time CDF using vital rates
multiresultm
Box 8.11. Incorporate demographic stochasticity into population projections
Chapter 9
vitalsens
Box 9.1. Vital rate sensitivity and elasticity
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