foieGras: Fit Continuous-Time State-Space and Latent Variable Models for Filtering Argos Satellite (and Other) Telemetry Data and Estimating Movement Behaviour

Fits continuous-time random walk and correlated random walk state-space models to filter 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. 'Jonsen I', 'McMahon CR', 'Patterson TA', 'Auger-Methe 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 100:e02566 <doi:10.1002/ecy.2566>.

Package details

AuthorIan Jonsen [aut, cre], Toby Patterson [aut, ctb]
MaintainerIan Jonsen <[email protected]>
LicenseMIT + file LICENSE
Version0.4.0
URL https://cran.r-project.org/package=foieGras
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("foieGras")

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foieGras documentation built on Oct. 8, 2019, 1:04 a.m.