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foieGras  

Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Movement Behaviour
View on CRAN: Click here


Download and install foieGras package within the R console
Install from CRAN:
install.packages("foieGras")

Install from Github:
library("remotes")
install_github("cran/foieGras")

Install by package version:
library("remotes")
install_version("foieGras", "0.7-6")



Attach the package and use:
library("foieGras")
Maintained by
Ian Jonsen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-02
Latest Update:
Description:
Fits continuous-time random walk and correlated random walk state-space models for quality control animal tracking data Argos processed light-level geolocation GPS. Template Model Builder TMB is used for fast estimation. The Argos data can be older least squares-based locations newer Kalman filter-based locations with error ellipse information or a mixture of both. The models estimate two sets of location states corresponding to 1 each observation which are usually irregularly timed and 2 user-specified time intervals regular or irregular. Latent variable models are provided to estimate move persistence along tracks as an index of behaviour. Track simulation functions are provided. Jonsen I McMahon CR Patterson TA Auger-Mth M Harcourt R Hindell MA Bestley S 2019 Movement responses to environment fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100e02566 doi10.1002ecy.2566.
How to cite:
Ian Jonsen (2019). foieGras: Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Movement Behaviour. R package version 0.7-6, https://cran.r-project.org/web/packages/foieGras. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.2.0 (2019-04-02 17:50), 0.2.1 (2019-04-04 15:10), 0.2.2 (2019-07-04 00:40), 0.4.0 (2019-10-08 00:10), 0.6-7 (2020-06-18 12:50), 0.6-9 (2020-07-22 23:50), 0.7-5 (2021-04-24 13:30), 0.7-6 (2021-04-27 00:10)
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