bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

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 ORCID iD [aut, cre, cph], Denis Valle [aut, cph]
Maintainer: Joshua Cullen <joshcullen10 at>
License: GPL-3
NeedsCompilation: yes
Language: en-US
Citation: bayesmove citation info
Materials: README NEWS
In views: Tracking
CRAN checks: bayesmove results


Reference manual: bayesmove.pdf


Package source: bayesmove_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayesmove_0.2.1.tgz, r-oldrel (arm64): bayesmove_0.2.1.tgz, r-release (x86_64): bayesmove_0.2.1.tgz, r-oldrel (x86_64): bayesmove_0.2.1.tgz
Old sources: bayesmove archive


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