Package: bcpa 1.3.2

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.

Authors:Eliezer Gurarie <[email protected]>

bcpa_1.3.2.tar.gz
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bcpa.pdf |bcpa.html
bcpa/json (API)

# Install 'bcpa' in R:
install.packages('bcpa', repos = c('https://eligurarie.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/eligurarie/bcpa/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Simp - Simulated Chim (Simp) Data

On CRAN:

4.75 score 2 stars 28 scripts 297 downloads 16 exports 2 dependencies

Last updated 2 years agofrom:d8db1e4768. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-win-x86_64NOTEOct 29 2024
R-4.5-linux-x86_64NOTEOct 29 2024
R-4.4-win-x86_64NOTEOct 29 2024
R-4.4-mac-x86_64NOTEOct 29 2024
R-4.4-mac-aarch64NOTEOct 29 2024
R-4.3-win-x86_64OKOct 29 2024
R-4.3-mac-x86_64OKOct 29 2024
R-4.3-mac-aarch64OKOct 29 2024

Exports:ChangePointSummaryDiagPlotGetBestBreakGetDoubleLGetLGetModelsGetRhoGetRho2GetVTMakeTrackPartitionParametersPathPlotPhasePlotplot.bcpaplot.trackWindowSweep

Dependencies:plyrRcpp

Behavioral Change Point Analysis

Rendered frombcpa.rnwusingknitr::knitron Oct 29 2024.

Last update: 2022-05-24
Started: 2018-02-16

Using BCPA on a one-dimensional variable

Rendered fromUnivariateBCPA.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-05-27
Started: 2022-05-24