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CRAN: Package resemble

resemble: Memory-Based Learning in Spectral Chemometrics

Functions for dissimilarity analysis and memory-based learning (MBL, a.k.a local modeling) in complex spectral data sets. Most of these functions are based on the methods presented in Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.

Version: 2.2.4 Depends: R (≥ 3.5.0) Imports: foreach, iterators, Rcpp (≥ 1.0.3), mathjaxr (≥ 1.0), magrittr (≥ 1.5.0), lifecycle (≥ 0.2.0), data.table (≥ 1.9.8) LinkingTo: Rcpp, RcppArmadillo Suggests: prospectr, parallel, doParallel, testthat, formatR, rmarkdown, bookdown, knitr Published: 2025-05-19 DOI: 10.32614/CRAN.package.resemble Author: Leonardo Ramirez-Lopez [aut, cre], Antoine Stevens [aut, ctb], Claudio Orellano [ctb], Raphael Viscarra Rossel [ctb], Alex Wadoux [ctb] Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo at gmail.com> BugReports: https://github.com/l-ramirez-lopez/resemble/issues License: MIT + file LICENSE URL: http://l-ramirez-lopez.github.io/resemble/ NeedsCompilation: yes Citation: resemble citation info Materials: README NEWS CRAN checks: resemble results Documentation: Downloads: Linking:

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