HLCtools: Calculate Herd Lying Concordance Metrics

Calculates Herd Lying Concordance (HLC) metrics from individual animal lying-behaviour data. HLC is a continuous framework for quantifying group-level behavioural cohesion from between-animal dispersion within observation intervals. The package implements standard deviation, mean absolute deviation, interquartile range, and entropy formulations, lying-weighted extensions, threshold-based synchrony comparisons, temporal summaries, and descriptive method-ranking tools. The HLC formulations are introduced in this package; related approaches to cattle behavioural synchrony include Raussi et al. (2011) <doi:10.1017/S1751731110001928>, Kok et al. (2023) <doi:10.1016/j.applanim.2023.105906>, and the activity metric framework of van Dixhoorn et al. (2024) <doi:10.24072/pcjournal.489>.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	dplyr, rlang
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-07-23
DOI:	10.32614/CRAN.package.HLCtools (may not be active yet)
Author:	Guilherme Amorim Franchi [aut, cre, cph]
Maintainer:	Guilherme Amorim Franchi <gaf at anivet.au.dk>
BugReports:	https://github.com/guilhermefranchi/HLCtools/issues
License:	MIT + file LICENSE
URL:	https://github.com/guilhermefranchi/HLCtools
NeedsCompilation:	no
Language:	en-US
Citation:	HLCtools citation info
Materials:	README, NEWS
CRAN checks:	HLCtools results

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