telemetR: Filter and Analyze Generalised Telemetry Data from Organisms

Analyze telemetry datasets generalized to allow any technology. The filtering steps check for false positives caused by reflected transmissions from surfaces and false pings from other noise generating equipment. The filters are based on JSATS filtering algorithms found in package 'filteRjsats' <https://CRAN.R-project.org/package=filteRjsats> but have been generalized to allow the user to define many of the filtering variables. Additionally, this package contains scripts used to help identify an optimal maximum blanking period as defined in Capello et al (2015) <doi:10.1371/journal.pone.0134002>. The functions were written according to their manuscript description, but have not been reviewed by the authors for accuracy. It is included here as is, without warranty.

Version:	1.0
Depends:	R (≥ 4.1)
Imports:	dplyr, tidyr, lubridate, zoo, ggplot2
Suggests:	knitr, rerddap, rmarkdown
Published:	2023-04-13
DOI:	10.32614/CRAN.package.telemetR
Author:	Taylor Spaulding [aut, cre]
Maintainer:	Taylor Spaulding <tspaulding at esassoc.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	telemetR results

Documentation:

Reference manual:	telemetR.pdf
Vignettes:	optimum-mbp

Downloads:

Package source:	telemetR_1.0.tar.gz
Windows binaries:	r-devel: telemetR_1.0.zip, r-release: telemetR_1.0.zip, r-oldrel: telemetR_1.0.zip
macOS binaries:	r-release (arm64): telemetR_1.0.tgz, r-oldrel (arm64): telemetR_1.0.tgz, r-release (x86_64): telemetR_1.0.tgz, r-oldrel (x86_64): telemetR_1.0.tgz

Linking:

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