Memory-Based Learning in Spectral Chemometrics

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Documentation for package ‘resemble’ version 2.2.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

resemble-package	Overview of the functions in the resemble package
cor_diss	Correlation and moving correlation dissimilarity measurements (cor_diss)
dissimilarity	Dissimilarity computation between matrices
f_diss	Euclidean, Mahalanobis and cosine dissimilarity measurements
get_predictions	Extract predictions from an object of class 'mbl'
local_fit	Local fit functions
local_fit_gpr	Local fit functions
local_fit_pls	Local fit functions
local_fit_wapls	Local fit functions
mbl	A function for memory-based learning (mbl)
mbl_control	A function that controls some few aspects of the memory-based learning process in the 'mbl' function
ortho_diss	A function for computing dissimilarity matrices from orthogonal projections (ortho_diss)
ortho_projection	Orthogonal projections using principal component analysis and partial least squares
pc_projection	Orthogonal projections using principal component analysis and partial least squares
plot.mbl	Plot method for an object of class 'mbl'
plot.ortho_projection	Plot method for an object of class 'ortho_projection'
pls_projection	Orthogonal projections using principal component analysis and partial least squares
predict.ortho_projection	Orthogonal projections using principal component analysis and partial least squares
resemble	Overview of the functions in the resemble package
search_neighbors	A function for searching in a given reference set the neighbors of another given set of observations (search_neighbors)
sid	A function for computing the spectral information divergence between spectra (sid)
sim_eval	A function for evaluating dissimilarity matrices (sim_eval)