CRAN/E | bayesmove

bayesmove

Non-Parametric Bayesian Analyses of Animal Movement

Installation

About

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.

Citation bayesmove citation info
github.com/joshcullen/bayesmove
joshcullen.github.io/bayesmove/
Bug report File report

Key Metrics

Version 0.2.1
R ≥ 3.6.0
Published 2021-10-22 918 days ago
Needs compilation? yes
License GPL-3
CRAN checks bayesmove results
Language en-US

Downloads

Yesterday 11 0%
Last 7 days 68 -11%
Last 30 days 264 -24%
Last 90 days 888 -20%
Last 365 days 3.783 -11%

Maintainer

Maintainer

Joshua Cullen

joshcullen10@gmail.com

Authors

Joshua Cullen

aut / cre / cph

Denis Valle

aut / cph

Material

README
NEWS
Reference manual
Package source

In Views

Tracking

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bayesmove archive

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

Suggests

covr
testthat
spelling
knitr
rmarkdown
ggforce
RcppArmadillo
xts
htmltools
shinythemes
DT
datamods
viridis

LinkingTo

Rcpp
RcppArmadillo