phenology (version 4.0.4)

phenology-package: Tools to Manage a Parametric Function that Describes Phenology

Description

A package to fit seasonality counts

Details

Fit a parametric function that describes phenology

ll{ Package: phenology Type: Package Version: 4.0.4 build 321 Date: 2015-01-29 License: GPL (>= 2) LazyLoad: yes }

References

Girondot, M. 2010. Estimating density of animals during migratory waves: application to marine turtles at nesting site. Endangered Species Research, 12, 85-105.

Girondot M. and Rizzo A. In press. Bayesian framework to integrate traditional ecological knowledge into ecological modeling: A case study. Journal of Ethnobiology.

Girondot, M. 2010. Editorial: The zero counts. Marine Turtle Newsletter, 129, 5-6.

See Also

Girondot, M., Rivalan, P., Wongsopawiro, R., Briane, J.-P., Hulin, V., Caut, S., Guirlet, E. & Godfrey, M. H. 2006. Phenology of marine turtle nesting revealed by a statistical model of the nesting season. BMC Ecology, 6, 11.

Examples

library(phenology)
# Read a file with data
data(Gratiot)
# Generate a formatted list nammed data_Gratiot
data_Gratiot<-add_phenology(Gratiot, name="Complete",
		reference=as.Date("2001-01-01"), format="%d/%m/%Y")
# Generate initial points for the optimisation
parg<-par_init(data_Gratiot, parametersfixed=NULL)
# Run the optimisation
result_Gratiot<-fit_phenology(data=data_Gratiot,
		parametersfit=parg, parametersfixed=NULL, trace=1)
data(result_Gratiot)
# Plot the phenology and get some stats
output<-plot(result_Gratiot)