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

Documentation:

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

Downloads:

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

Linking:

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