Forward Angular Relevance Measure R package FARM version 0.1.5.15 The original implementation of the Forward Angular Relevance Measure (FARM). The algorithm relies on a forward alignment approach for compared time series based on the dynamic time warping (DTW) principle. It considers the differences between data point as source in a combined distance metric that is used for series alignment. The algorithm returns a global and a series of local relevance measures relying on correlation coefficients. A normalization of time series is not part of the algorithm but recommended for best results. The FARM method is introduced in: Christen et al. (2023) <doi:10.48550/arXiv.2304.11028>. Software Imports: dplyr, stats, utils Ramón Christen <hiroshima@bluewin.ch> Comprehensive R Archive Network (CRAN) Ramón Christen [aut, cre] (ORCID: <https://orcid.org/0000-0002-3963-0785>) GPL-3 2026-09-30 application/tgz https://CRAN.R-project.org/package=FARM doi:10.32614/CRAN.package.FARM