bcpa: Behavioral Change Point Analysis of Animal Movement

The Behavioral Change Point Analysis (BCPA) is a method of identifying hidden shifts in the underlying parameters of a time series, developed specifically to be applied to animal movement data which is irregularly sampled. The method is based on: E. Gurarie, R. Andrews and K. Laidre A novel method for identifying behavioural changes in animal movement data (2009) Ecology Letters 12:5 395-408. A development version is on <https://github.com/EliGurarie/bcpa>. NOTE: the BCPA method may be useful for any univariate, irregularly sampled Gaussian time-series, but animal movement analysts are encouraged to apply correlated velocity change point analysis as implemented in the smoove package, as of this writing on GitHub at <https://github.com/EliGurarie/smoove>. An example of a univariate analysis is provided in the UnivariateBCPA vignette.

Version: 1.3.2
Depends: plyr
Imports: stats, Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: knitr, lubridate, magrittr, circular, digest, rmarkdown
Published: 2022-05-30
DOI: 10.32614/CRAN.package.bcpa
Author: Eliezer Gurarie
Maintainer: Eliezer Gurarie <egurarie at esf.edu>
License: Unlimited
NeedsCompilation: yes
Materials: README
In views: SpatioTemporal, Tracking
CRAN checks: bcpa results


Reference manual: bcpa.pdf
Vignettes: Using BCPA on a one-dimensional variable
Behavioral Change Point Analysis


Package source: bcpa_1.3.2.tar.gz
Windows binaries: r-devel: bcpa_1.3.2.zip, r-release: bcpa_1.3.2.zip, r-oldrel: bcpa_1.3.2.zip
macOS binaries: r-release (arm64): bcpa_1.3.2.tgz, r-oldrel (arm64): bcpa_1.3.2.tgz, r-release (x86_64): bcpa_1.3.2.tgz, r-oldrel (x86_64): bcpa_1.3.2.tgz
Old sources: bcpa archive

Reverse dependencies:

Reverse suggests: move


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