# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bsam" in publications use:' type: software license: GPL-2.0-only title: 'bsam: Bayesian State-Space Models for Animal Movement' version: 1.1.3 identifiers: - type: doi value: 10.32614/CRAN.package.bsam abstract: 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'. authors: - family-names: Jonsen given-names: Ian email: ian.jonsen@mq.edu.au preferred-citation: type: article title: Robust state-space modeling of animal movement data authors: - family-names: Jonsen given-names: Ian D. - family-names: Flemming given-names: Joanna Mills - family-names: Myers given-names: Ransom A. journal: Ecology year: '2005' volume: '86' issue: '11' url: https://esajournals.onlinelibrary.wiley.com/doi/epdf/10.1890/04-1852 start: '2874' end: '2880' repository: https://cranhaven.r-universe.dev repository-code: https://github.com/ianjonsen/bsam commit: b822cb9481322bef013d5ef13e87d4423048fe88 url: https://github.com/ianjonsen/bsam date-released: '2020-08-31' contact: - family-names: Jonsen given-names: Ian email: ian.jonsen@mq.edu.au references: - type: article title: Joint estimation over multiple individuals improves behavioural state inference from animal movement data authors: - family-names: Jonsen given-names: Ian journal: Scientific Reports year: '2016' volume: '6' url: https://www.nature.com/articles/srep20625 start: '20625'