CRAN/E | bcpa

bcpa

Behavioral Change Point Analysis of Animal Movement

Installation

About

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.

Key Metrics

Version 1.3.2
Published 2022-05-30 689 days ago
Needs compilation? yes
License Unlimited
CRAN checks bcpa results

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Maintainer

Maintainer

Eliezer Gurarie

egurarie@esf.edu

Authors

Eliezer Gurarie

Material

README
Reference manual
Package source

In Views

SpatioTemporal
Tracking

Vignettes

Using BCPA on a one-dimensional variable
Behavioral Change Point Analysis

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

bcpa archive

Depends

plyr

Imports

stats
Rcpp ≥ 0.11.0

Suggests

knitr
lubridate
magrittr
circular
digest
rmarkdown

LinkingTo

Rcpp

Reverse Suggests

move