Description Details Author(s) References See Also Examples
Models provided are DCRW (for location filtering), DCRWS (for
location filtering and behavioural state estimation), and their hierarchical
versions (hDCRW, hDCRWS) to estimate parameters jointly across multiple
individual tracking datasets. The models are fit in JAGS using Markov chain
Monte Carlo simulation methods. The models are intended to be fit to Argos
satellite tracking data but options exist to allow fits to other tracking
data types (type ?fit_ssm
for details).
Package: | bsam |
Type: | Package |
Version: | 1.1.2 |
Date: | 2017-07-01 |
License: | GPL-2 |
LazyLoad: | yes |
Fit Bayesian state-space models to Argos satellite tracking data. Models provided are DCRW - for location filtering; DCRWS - for location filtering and behavioural state estimation with 2 behavioural states; hDCRW and hDCRWS - hierarchical models for location filtering only, and location filtering with behavioural state estimation, respectively, across multiple animals.
The hierarchical models may provide improved location and/or behavioural state estimates compared to fitting DCRW/DCRWS to individual datasets.
Ian Jonsen
Maintainer: Ian Jonsen <ian.jonsen@mq.edu.au>
Jonsen ID, Mills Flemming J, Myers RA (2005) Robust state-space modeling of animal movement data. Ecology 86:2874-2880
Jonsen ID (2016) Joint estimation over multiple individuals improves behavioural state inference from animal movement data. Scientific Reports 6:20625
fit_ssm
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Loading required package: rjags
Loading required package: coda
Linked to JAGS 4.3.0
Loaded modules: basemod,bugs
Attaching package: ‘bsam’
The following object is masked from ‘package:stats’:
simulate
module dic loaded
Compiling data graph
Resolving undeclared variables
Allocating nodes
Initializing
Reading data back into data table
Compiling model graph
Resolving undeclared variables
Allocating nodes
Graph information:
Observed stochastic nodes: 808
Unobserved stochastic nodes: 192
Total graph size: 7220
Initializing model
NOTE: Stopping adaptation
Elapsed time: 0.07 min
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