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'.
- Version1.1.3
- R version≥ 3.6.0
- LicenseGPL-2
- Needs compilation?No
- bsam citation info
- Last release09/01/2020
Documentation
Team
Ian Jonsen
Sophie Bestley
Show author detailsRolesContributorSimon Wotherspoon
Show author detailsRolesContributorMichael Sumner
Show author detailsRolesContributorJoanna Mills Flemming
Show author detailsRolesContributor
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- Depends2 packages
- Imports10 packages