https://guilhermefranchi.r-universe.devRecent package updates in guilhermefranchiR-universehttps://github.com/guilhermefranchi.pnghttps://guilhermefranchi.r-universe.devThu, 06 Aug 2026 08:33:53 GMTgaf@anivet.au.dk (Guilherme Amorim Franchi)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>.https://github.com/r-universe/guilhermefranchi/actions/runs/37452820194Thu, 06 Aug 2026 08:33:53 GMTHLCtools0.1.0successhttps://guilhermefranchi.r-universe.devhttps://github.com/guilhermefranchi/hlctoolsgetting-started.Rmdgetting-started.htmlGetting started with HLCtools2026-07-01 10:27:252026-07-03 15:26:50