bsam: Bayesian State-Space Models for Animal Movement

Tools to fit Bayesian state-space models to animal tracking data. Models are provided for location filtering, location filtering and behavioural state estimation, and their hierarchical versions. The models are primarily intended for fitting to ARGOS satellite tracking data but options exist to fit to other tracking data types. For Global Positioning System data, consider the 'moveHMM' package. Simplified Markov Chain Monte Carlo convergence diagnostic plotting is provided but users are encouraged to explore tools available in packages such as 'coda' and 'boa'.

AuthorIan Jonsen [aut, cre], Sophie Bestley [ctb], Simon Wotherspoon [ctb], Michael Sumner [ctb]
Date of publication2016-11-17 14:34:35
MaintainerIan Jonsen <ian.jonsen@mq.edu.au>
LicenseGPL-2
Version1.1.1
https://github.com/ianjonsen/bsam

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