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'.
| Version: |
1.1.3 |
| Depends: |
R (≥ 3.6.0), rjags (≥ 4-10) |
| Imports: |
coda (≥ 0.19-3), dplyr (≥ 1.0.0), ggplot2 (≥ 3.3.2), gridExtra (≥ 2.3), msm (≥ 1.6.8), mvtnorm (≥ 1.1-1), rworldxtra (≥ 1.01), sp (≥ 1.2-3), tibble (≥ 3.0.1), lubridate (≥ 1.7.9) |
| Published: |
2020-09-01 |
| Author: |
Ian Jonsen [aut, cre],
Sophie Bestley [ctb],
Simon Wotherspoon [ctb],
Michael Sumner [ctb],
Joanna Mills Flemming [ctb] |
| Maintainer: |
Ian Jonsen <ian.jonsen at mq.edu.au> |
| BugReports: |
https://github.com/ianjonsen/bsam/issues |
| License: |
GPL-2 |
| URL: |
<https://github.com/ianjonsen/bsam> |
| NeedsCompilation: |
no |
| SystemRequirements: |
JAGS (>= 4.3.0) |
| Citation: |
bsam citation info |
| Materials: |
README NEWS |
| In views: |
SpatioTemporal, Tracking |
| CRAN checks: |
bsam results |
Documentation:
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