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.


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Reference manual

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install.packages("bayesmove")

0.1.0 by Joshua Cullen, 12 days ago


https://github.com/joshcullen/bayesmove, https://joshcullen.github.io/bayesmove/


Report a bug at https://github.com/joshcullen/bayesmove/issues


Browse source code at https://github.com/cran/bayesmove


Authors: Joshua Cullen [aut, cre, cph] , Denis Valle [aut, cph]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, furrr, ggplot2, lubridate, MCMCpack, progress, purrr, Rcpp, rlang, tictoc, tidyr, magrittr, future

Suggests covr, testthat, spelling, knitr, rmarkdown, ggforce, RcppArmadillo

Linking to Rcpp, RcppArmadillo


See at CRAN