Behavioral Change Point Analysis of Animal Movement
Overview
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.
Install
Health
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checkRd: (-1) WindowSweep.Rd:32: Lost braces
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36 | \code{T.mid} from the output of the `code{\link{GetVT}}`.}
| ^NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Eliezer Gurarie <egurarie@esf.edu>’
No Authors@R field in DESCRIPTION.
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Authors@R: person(given = "Eliezer",
family = "Gurarie",
role = c("aut", "cre"),
email = "egurarie@esf.edu")
as necessary.
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URI: eliezg@u.washington.edu
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Documentation
- Help pages
- 17includes a package overview page
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 73%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 6%
Downloads
Dependencies
Installing bcpa adds 2 packages (2 with compiled code, 2.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, plyr 392 KB.
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Package metadata
- First published
- 2013-10-26
- Total releases
- 3 / 13 yrs
- License
- Unlimited
- Bundled data
- 3.9 KB / 1 file
- Download size
- 497 KB
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