fit_ctmm: Fit a continuous time movement model with 'ctmm'

In amt: Animal Movement Tools

Fit a continuous time movement model with ctmm

Description

Fit a continuous time movement model with ctmm

Usage

fit_ctmm(x, model, uere = NULL, ...)

Arguments

x	[track_xyt] A track created with make_track that includes time.
model	⁠[character(1)="bm"]{"iid", "bm","ou","ouf", "auto"}⁠ The autocorrelation model that should be fit to the data. iid corresponds to uncorrelated independent data, bm to Brownian motion, ou to an Ornstein-Uhlenbeck process, ouf to an Ornstein-Uhlenbeck forage process. auto will use model selection with AICc to find the best model.
uere	User Equivalent Range Error, see ?ctmm::uere for more details.
...	Additional parameters passed to ctmm::ctmm.fit or ctmm::ctmm.select for model = "auto"

Value

An object of class ctmm from the package ctmm.

References

C. H. Fleming, J. M. Calabrese, T. Mueller, K.A. Olson, P. Leimgruber, W. F. Fagan, “From fine-scale foraging to home ranges: A semi-variance approach to identifying movement modes across spatiotemporal scales”, The American Naturalist, 183:5, E154-E167 (2014).

Examples

data(deer)
mini_deer <- deer[1:20, ]
m1 <- fit_ctmm(mini_deer, "iid")
summary(m1)

amt documentation built on June 25, 2024, 1:14 a.m.