l-ramirez-lopez/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>.
Getting started
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Package details |
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| 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@gmail.com> |
| License | MIT + file LICENSE |
| Version | 2.2.2 |
| URL | http://l-ramirez-lopez.github.io/resemble/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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