Non-Parametric Bayesian Analyses of Animal Movement R package bayesmove version 0.2.4 CRAN Task View: Tracking (https://CRAN.R-project.org/view=Tracking) Methods for assessing animal movement from telemetry and biologging data using non-parametric Bayesian methods. This includes features for pre- processing and analysis of data, as well as the visualization of results from the models. This framework does not rely on standard parametric density functions, which provides flexibility during model fitting. Further details regarding part of this framework can be found in Cullen et al. (2022) <doi:10.1111/2041-210X.13745>. Software Depends: R (>= 3.6.0) Imports: dplyr (>= 0.8.3), furrr (>= 0.2.0), ggplot2 (>= 3.3.0), lubridate (>= 1.7.4), MCMCpack (>= 1.4.5), progress (>= 1.2.2), purrr (>= 0.3.3), Rcpp, rlang, tictoc (>= 1.0), tidyr (>= 1.0.0), magrittr, future (>= 1.15.1), progressr, shiny, dygraphs (>= 1.1.0), leaflet (>= 2.0.0), sf (>= 0.9-6), datamods LinkingTo: Rcpp, RcppArmadillo Suggests: covr, testthat, spelling, knitr, rmarkdown, ggforce, RcppArmadillo, xts, htmltools, shinythemes, DT, viridis Joshua Cullen <joshcullen10@gmail.com> Comprehensive R Archive Network (CRAN) Joshua Cullen [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6935-9340>), Denis Valle [aut, cph] GPL-3 2026-01-09 application/tgz https://CRAN.R-project.org/package=bayesmove doi:10.32614/CRAN.package.bayesmove en-US