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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:2.2.5
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:2025-10-17
DOI:10.32614/CRAN.package.resemble
Author:Leonardo Ramirez-LopezORCID iD [aut, cre], Antoine StevensORCID iD [aut, ctb], Claudio Orellano [ctb], Raphael Viscarra RosselORCID iD [ctb], Alex WadouxORCID iD [ctb]
Maintainer:Leonardo Ramirez-Lopez <ramirez.lopez.leo at gmail.com>
BugReports:https://github.com/l-ramirez-lopez/resemble/issues
License:MIT + fileLICENSE
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.html ,resemble.pdf
Vignettes:Modelling complex spectral data with the resemble package (source,R code)

Downloads:

Package source: resemble_2.2.5.tar.gz
Windows binaries: r-devel:resemble_2.2.5.zip, r-release:resemble_2.2.5.zip, r-oldrel:resemble_2.2.5.zip
macOS binaries: r-release (arm64):resemble_2.2.5.tgz, r-oldrel (arm64):resemble_2.2.5.tgz, r-release (x86_64):resemble_2.2.5.tgz, r-oldrel (x86_64):resemble_2.2.5.tgz
Old sources: resemble archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=resembleto link to this page.


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