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. (2021) <doi:10.1101/2020.11.05.369702>.
Version: 0.2.1 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) LinkingTo: Rcpp, RcppArmadillo Suggests: covr, testthat, spelling, knitr, rmarkdown, ggforce, RcppArmadillo, xts, htmltools, shinythemes, DT, datamods, viridis Published: 2021-10-22 DOI: 10.32614/CRAN.package.bayesmove Author: Joshua Cullen [aut, cre, cph], Denis Valle [aut, cph] Maintainer: Joshua Cullen <joshcullen10 at gmail.com> BugReports: https://github.com/joshcullen/bayesmove/issues License: GPL-3 URL: https://github.com/joshcullen/bayesmove, https://joshcullen.github.io/bayesmove/ NeedsCompilation: yes Language: en-US Citation: bayesmove citation info Materials: README NEWS In views: Tracking CRAN checks: bayesmove results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bayesmove to link to this page.
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