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.

Version: 0.1.0
Depends: R (≥ 3.6.0)
Imports: dplyr (≥ 0.8.3), furrr (≥ 0.1.0), 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)
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, testthat, spelling, knitr, rmarkdown, ggforce, RcppArmadillo
Published: 2020-10-16
Author: Joshua Cullen ORCID iD [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
CRAN checks: bayesmove results

Downloads:

Reference manual: bayesmove.pdf
Package source: bayesmove_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: bayesmove_0.1.0.zip
macOS binaries: r-release: bayesmove_0.1.0.tgz, r-oldrel: bayesmove_0.1.0.tgz

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