resemble: Similarity Retrieval and Local Learning for Spectral
Chemometrics
Functions for dissimilarity analysis and machine learning in complex
spectral data sets, including memory-based learning (MBL), optimal subset
search and selection, and retrieval-based modelling with model libraries.
Supports local learning, optimisation of spectral libraries, and
ensemble prediction from precomputed models.
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: |
3.0.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
foreach, iterators, RhpcBLASctl, Rcpp (≥ 1.0.3), mathjaxr (≥
1.0), lifecycle (≥ 0.2.0) |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
prospectr, parallel, doParallel, testthat, quarto, knitr |
| Published: |
2026-04-20 |
| DOI: |
10.32614/CRAN.package.resemble |
| Author: |
Leonardo Ramirez-Lopez
[aut, cre],
Antoine Stevens
[aut, ctb],
Claudio Orellano [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: |
https://l-ramirez-lopez.github.io/resemble/,
https://github.com/l-ramirez-lopez/resemble |
| NeedsCompilation: |
yes |
| Citation: |
resemble citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
resemble results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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