resemble-package | R Documentation |

Functions for memory-based learning

This is the version 2.2.3 – embryo of the package. It implements a number of functions useful for modeling complex spectral spectra (e.g. NIR, IR). The package includes functions for dimensionality reduction, computing spectral dissimilarity matrices, nearest neighbor search, and modeling spectral data using memory-based learning. This package builds upon the methods presented in Ramirez-Lopez et al. (2013) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.geoderma.2012.12.014")}.

Development versions can be found in the github repository of the package at https://github.com/l-ramirez-lopez/resemble.

The functions available for dimensionality reduction are:

`ortho_projection`

`pc_projection`

`pls_projection`

`predict.ortho_projection`

The functions available for computing dissimilarity matrices are:

`dissimilarity`

`f_diss`

`cor_diss`

`sid`

`ortho_diss`

The functions available for evaluating dissimilarity matrices are:

`sim_eval`

The functions available for nearest neighbor search:

`search_neighbors`

The functions available for modeling spectral data:

`mbl`

`mbl_control`

Other supplementary functions:

`plot.mbl`

`plot.ortho_projection`

**Maintainer / Creator**: Leonardo Ramirez-Lopez ramirez.lopez.leo@gmail.com

Authors:

Leonardo Ramirez-Lopez (ORCID)

Antoine Stevens (ORCID)

Claudio Orellano

Raphael Viscarra Rossel (ORCID)

Zefang Shen

Craig Lobsey (ORCID)

Alex Wadoux (ORCID)

Ramirez-Lopez, L., Behrens, T., Schmidt, K., Stevens, A., Dematte, J.A.M., Scholten, T. 2013a. The spectrum-based learner: A new local approach for modeling soil vis-NIR spectra of complex data sets. Geoderma 195-196, 268-279.

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