amt (version 0.2.2.0)

fit_ctmm: Fit a continuous time movement model with ctmm

Description

Fit a continuous time movement model with ctmm

Usage

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

Value

An object of class ctmm from the package ctmm.

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"

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

# \donttest{
data(deer)
mini_deer <- deer[1:20, ]
m1 <- fit_ctmm(mini_deer, "iid")
summary(m1)
# }