bayesmove: Non-Parametric Bayesian Analyses of Animal Movement (original) (raw)
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 |
| 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 |
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