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bcpa
View on CRAN: Click
here
Download and install bcpa package within the R console
Install from CRAN:
install.packages("bcpa")
Install from Github:
library("remotes")
install_github("cran/bcpa") Install by package version:
library("remotes")
install_version("bcpa", "1.3.2") Attach the package and use:
library("bcpa")
Maintained by
Eliezer Gurarie
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-10-26
Latest Update: 2022-05-30
Description:
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 . 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 . An example of a univariate analysis
is provided in the UnivariateBCPA vignette.
How to cite:
Eliezer Gurarie (2013). bcpa: Behavioral Change Point Analysis of Animal Movement. R package version 1.3.2, https://cran.r-project.org/web/packages/bcpa. Accessed 27 Jun. 2026.
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Complete documentation for bcpa
Functions, R codes and Examples using
the bcpa R package
Some associated functions: ChangePointSummary . DiagPlot . GetBestBreak . GetDoubleL . GetL . GetModels . GetRho . GetVT . MakeTrack . PartitionParameters . PathPlot . PhasePlot . Simp . WindowSweep . bcpa-package . plot.bcpa . plot.track .
Some associated R codes: ChangePointSummary.R . GetBestBreak.R . GetDoubleL.R . GetModels.R . GetRho.R . MakeTrack.R . PartitionParameters.R . RcppExports.R . WindowSweep.R . bcpa.R-internal.R . datadocumentation.R . Full bcpa package functions and examples
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