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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 |
Reference manual: | bayesmove.pdf |
Package source: | bayesmove_0.2.1.tar.gz |
Windows binaries: | r-devel: bayesmove_0.2.1.zip, r-release: bayesmove_0.2.1.zip, r-oldrel: bayesmove_0.2.1.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.