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:
bcpa_1.3.2.tar.gz
bcpa_1.3.2.zip(r-4.5)bcpa_1.3.2.zip(r-4.4)bcpa_1.3.2.zip(r-4.3)
bcpa_1.3.2.tgz(r-4.4-x86_64)bcpa_1.3.2.tgz(r-4.4-arm64)bcpa_1.3.2.tgz(r-4.3-x86_64)bcpa_1.3.2.tgz(r-4.3-arm64)
bcpa_1.3.2.tar.gz(r-4.5-noble)bcpa_1.3.2.tar.gz(r-4.4-noble)
bcpa_1.3.2.tgz(r-4.4-emscripten)bcpa_1.3.2.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/eligurarie/bcpa/issues
- Simp - Simulated Chim (Simp) Data
Last updated 2 years agofrom:d8db1e4768. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win-x86_64 | NOTE | Oct 29 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 29 2024 |
R-4.4-win-x86_64 | NOTE | Oct 29 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 29 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 29 2024 |
R-4.3-win-x86_64 | OK | Oct 29 2024 |
R-4.3-mac-x86_64 | OK | Oct 29 2024 |
R-4.3-mac-aarch64 | OK | Oct 29 2024 |
Exports:ChangePointSummaryDiagPlotGetBestBreakGetDoubleLGetLGetModelsGetRhoGetRho2GetVTMakeTrackPartitionParametersPathPlotPhasePlotplot.bcpaplot.trackWindowSweep
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Behavioral Change Point Analysis | bcpa-package bcpa _PACKAGE |
Obtain summary of BCPA analysis | ChangePointSummary |
Diagnostic plot for BCPA | DiagPlot |
Find most likely change point in irregular time series | GetBestBreak |
Obtain log-likelihood and parameter estimates for a given break point. | GetDoubleL |
Obtain likelihood estimates of gappy Gaussian time series | GetL |
Model selection at a known breakpoint | GetModels |
Characteristic time / auto-correlation for irregular time series | GetRho GetRho2 |
Obtain VT table from Track | GetVT |
Make Track | MakeTrack |
Partition parameters | PartitionParameters |
Path plot of BCPA output | PathPlot |
Phase plot of BCPA output | PhasePlot |
Plotting method for BCPA output | plot.bcpa |
Plot Track | plot.track |
Simulated Chim (Simp) Data | Simp |
Perform window sweep for BCPA | WindowSweep |