amt: fit_ctmm – R documentation

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Documentation

amt

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, ...)

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

A ctmm object.

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)
m1 <- fit_ctmm(deer, "iid")
summary(m1)

amt

Animal Movement Tools

v0.1.4

GPL-3

Authors

Johannes Signer [aut, cre], Brian Smith [ctb], Bjoern Reineking [ctb], Ulrike Schlaegel [ctb], John Fieberg [ctb], Scott LaPoint [dtc]

Initial release