Regression and Similarity Evaluation for Memory-Based Learning in Spectral Chemometrics


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Documentation for package ‘resemble’ version 1.2.2

Help Pages

resemble-package Overview of the functions in the resemble package
corDiss Correlation and moving correlation dissimilarity measurements (corDiss)
fDiss Euclidean, Mahalanobis and cosine dissimilarity measurements
getPredictions Extract predictions from an object of class 'mbl'
mbl A function for memory-based learning (mbl)
mblControl A function that controls some aspects of the memory-based learning process in the 'mbl' function
neigCleaning A function for identifying samples that do not belong to any of the neighbourhoods of a given set of samples (neigCleaning)
orthoDiss A function for computing dissimilarity matrices from orthogonal projections (orthoDiss)
orthoProjection Orthogonal projections using partial least squares and principal component analysis
pcProjection Orthogonal projections using partial least squares and principal component analysis
plot.mbl Plot method for an object of class 'mbl'
plot.orthoProjection Plot method for an object of class 'orthoProjection'
plsProjection Orthogonal projections using partial least squares and principal component analysis
predict.orthoProjection Orthogonal projections using partial least squares and principal component analysis
print.localOrthoDiss Print method for an object of class 'orthoDiss'
print.mbl Print method for an object of class 'mbl'
print.orthoProjection Print method for an object of class 'orthoProjection'
resemble Overview of the functions in the resemble package
sid A function for computing the spectral information divergence between spectra (sid)
simEval A function for evaluating similarity/dissimilarity matrices (simEval)