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 |
| 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 |