The R package rrcov3way provides a set of tools for fitting the Tucker3 and PARAFAC models to multidimensional arrays by use of classical, robust and compositional estimating procedures. Two main functions are implemented, Parafac and Tucker3, which include alternative options to the standard least squares algorithm in order to properly calculate the models in case of data with outliers and/or characterized by a biased covariance structure. A comprehensive collection of three-way plots, diagnostics and data processing functions is also made available. A brief overview of multilinear tools, robustification procedures and compositional data analysis for three-way arrays is followed by a detailed presentation on the use and applicability of the implemented functions by means of real data examples included in the package.
The R package rrcov3way: Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data
Violetta Simonacci;Maria Anna Di Palma;Michele Gallo
2024-01-01
Abstract
The R package rrcov3way provides a set of tools for fitting the Tucker3 and PARAFAC models to multidimensional arrays by use of classical, robust and compositional estimating procedures. Two main functions are implemented, Parafac and Tucker3, which include alternative options to the standard least squares algorithm in order to properly calculate the models in case of data with outliers and/or characterized by a biased covariance structure. A comprehensive collection of three-way plots, diagnostics and data processing functions is also made available. A brief overview of multilinear tools, robustification procedures and compositional data analysis for three-way arrays is followed by a detailed presentation on the use and applicability of the implemented functions by means of real data examples included in the package.File | Dimensione | Formato | |
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