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.
|Author||Eliezer Gurarie <email@example.com>|
|Date of publication||2014-11-02 09:15:10|
|Maintainer||Eliezer Gurarie <firstname.lastname@example.org>|
bcpa-package: Behavioral Change Point Analysis
ChangePointSummary: Obtain summary of BCPA analysis
DiagPlot: Diagnostic plot for BCPA
GetBestBreak: Find most likely change point in irregular time series
GetDoubleL: Obtain log-likelihood and parameter estimates for a given...
GetL: Obtain likelihood of gappy Gaussian time series
GetModels: Model selection at a known breakpoint
GetRho: Characteristic time / auto-correlation for irregular time...
GetVT: Obtain VT table from Track
MakeTrack: Make Track
PartitionParameters: Partition parameters
PathPlot: Path plot of BCPA output
PhasePlot: Phase plot of BCPA output
plot.bcpa: Plotting method for BCPA output
plot.track: Plot Track
Simp: Simulated Chimp (Simp) Data
WindowSweep: Perform window sweep for BCPA