Behavioral Change Point Analysis of Animal Movement R package bcpa version 1.3.2 CRAN Task View: SpatioTemporal (https://CRAN.R-project.org/view=SpatioTemporal) CRAN Task View: Tracking (https://CRAN.R-project.org/view=Tracking) 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. Software Depends: plyr Imports: stats, Rcpp (>= 0.11.0) LinkingTo: Rcpp Suggests: knitr, lubridate, magrittr, circular, digest, rmarkdown Eliezer Gurarie <egurarie@esf.edu> Comprehensive R Archive Network (CRAN) Eliezer Gurarie <egurarie@esf.edu> Unlimited 2022-05-30 application/tgz https://CRAN.R-project.org/package=bcpa doi:10.32614/CRAN.package.bcpa