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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>.
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Package details |
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| Author | Leonardo Ramirez-Lopez [aut, cre] (ORCID: <https://orcid.org/0000-0002-5369-5120>), Antoine Stevens [aut, ctb] (ORCID: <https://orcid.org/0000-0002-1588-7519>), Claudio Orellano [ctb] |
| Maintainer | Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com> |
| License | MIT + file LICENSE |
| Version | 3.0.0 |
| URL | https://l-ramirez-lopez.github.io/resemble/ https://github.com/l-ramirez-lopez/resemble |
| Package repository | View on CRAN |
| Installation |
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