ctmm (version 0.3.1)

summary.ctmm: Summarize a continuous-time movement model

Description

This function returns a list of biologically interesting parameters in human readable format, as derived from a continuous-time movement model.

Usage

## S3 method for class 'ctmm':
summary(object,level=0.95,level.UD=0.95,...)

Arguments

object

A ctmm movement-model object from the output of ctmm.fit.

level

Confidence level for parameter estimates.

level.UD

Confidence level for the Gaussian home-range area.

...

Unused options.

Value

• If summary is called with a single ctmm object output from ctmm.fit, then a table is returned with low, maximum likelihood, and high estimates for the following possible parameters: [object Object],[object Object],[object Object] If summary is called on a list of ctmm objects output from ctmm.select, then a table is returned with the model names and AIC differences, where "IID" denotes the uncorrelated bi-variate Gaussian model, "OU" denotes the continuous-position Ornstein-Uhlenbeck model, and "OUF" denotes the continuous-velocity Ornstein-Uhlenbeck-F model.

See Also

ctmm.fit, ctmm.select.

Examples

# Load package and data
library(ctmm)
data(buffalo)

# Extract movement data for a single animal
cilla <- buffalo[[1]]

# Find the best OU movement model
# also see help(variogram.fit)
GUESS <- ctmm(tau=60*60*24*10)
FIT <- ctmm.fit(cilla,GUESS)

# Tell us something interpretable
summary(FIT)