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 DOI: 10.32614/CRAN.package.bsam 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bsam to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4