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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: 2.2.3
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: 2024-02-16
DOI: 10.32614/CRAN.package.resemble
Author: Leonardo Ramirez-Lopez [aut, cre], Antoine Stevens [aut, ctb], Claudio Orellano [ctb], Raphael Viscarra Rossel [ctb], Zefang Shen [ctb], Craig Lobsey [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:

Reference manual: resemble.pdf
Vignettes: Modelling complex spectral data with the resemble package

Downloads:

Package source: resemble_2.2.3.tar.gz
Windows binaries: r-devel: resemble_2.2.3.zip, r-release: resemble_2.2.3.zip, r-oldrel: resemble_2.2.3.zip
macOS binaries: r-release (arm64): resemble_2.2.3.tgz, r-oldrel (arm64): resemble_2.2.3.tgz, r-release (x86_64): resemble_2.2.3.tgz, r-oldrel (x86_64): resemble_2.2.3.tgz
Old sources: resemble archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=resemble to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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