resemble (version 2.1.2)

resemble-package: Overview of the functions in the resemble package

Description

Functions for memory-based learning

Author

Maintainer / Creator: Leonardo Ramirez-Lopez

Authors:

• Leonardo Ramirez-Lopez (ORCID)

• Antoine Stevens (ORCID)

• Claudio Orellano

• Raphael Viscarra Rossel (ORCID)

• Zefang Shen

• Craig Lobsey (ORCID)

• Alex Wadoux (ORCID)

Details

This is the version 2.1 ('piapia') of the package. It implements a number of R 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) <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

References

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.

See Also

Useful links:

• https://github.com/l-ramirez-lopez/resemble

• Report bugs at https://github.com/l-ramirez-lopez/resemble/issues