PVAClone-package {PVAClone}

Population Viability Analysis with Data Cloning

Description

Likelihood based population viability analysis in the presence of observation error and missing data. The package can be used to fit, compare, predict, and forecast various growth model types using data cloning.

Details

The package implements data cloning based population viability analysis methodology developed by Nadeem and Lele (2012). This includes model estimation, model selection and forecasting of future population abundances for estimate the extinction risk of a population of interest.

pva: main function for model fitting.

model.select: main function for model model selection.

Growth models: gompertz, ricker, bevertonholt, thetalogistic, thetalogistic_D.

Author(s)

Khurram Nadeem, Peter Solymos

Maintainer: Peter Solymos <[e-mail]>

References

Nadeem, K., Lele S. R., 2012. Likelihood based population viability analysis in the presence of observation error. Oikos 121, 1656–1664.

See Also

pva

Examples

## Not run: 
## model selection for data with missing observations
data(songsparrow)
## model without observation error
m1 <- pva(songsparrow, gompertz("none"), 2, n.iter=1000)
## model with Poisson observation error
m2 <- pva(songsparrow, gompertz("poisson"), 2, n.iter=1000)
## model with Poisson observation error is strongly supported
model.select(m1, m2)

## End(Not run)