FARM: Forward Angular Relevance Measure

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>.

Version:	0.1.5.15
Imports:	dplyr, stats, utils
Published:	2026-09-30
DOI:	10.32614/CRAN.package.FARM
Author:	Ramón Christen [aut, cre]
Maintainer:	Ramón Christen <hiroshima at bluewin.ch>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	FARM results

Documentation:

Reference manual:

FARM.html , FARM.pdf

Downloads:

Package source:	FARM_0.1.5.15.tar.gz
Windows binaries:	r-devel: FARM_0.1.5.15.zip, r-release: not available, r-oldrel: FARM_0.1.5.15.zip
macOS binaries:	r-release (arm64): FARM_0.1.5.15.tgz, r-oldrel (arm64): FARM_0.1.5.15.tgz, r-release (x86_64): FARM_0.1.5.15.tgz, r-oldrel (x86_64): FARM_0.1.5.15.tgz

Linking:

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