Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data
Coefficient of factor congruence (phi)
Alternating Least Squares (ALS) for Candecomp/Parafac (CP)
Alternating Trilinear Decomposition (ATLD) for Candecomp/Parafac (CP)
Generate PARAFAC data sets, optionally with outliers
ATLD-ALS algorithm for Candecomp/Parafac (CP)
Varimax Rotation for Tucker3 models
Centering and scaling
The Khatri-Rao product of two matrices
The trace of a square numeric matrix
Robust Parafac estimator for compositional data
Permutation of a matricized array
Plot a parafac or a tucker3 object
Matrix to array conversion
Robust Tucker3 estimator for compositional data
Matrix unfolding
Postprocessing: renormalization, reflection and reordering; access to ...
Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) <doi:10.1016/j.aca.2011.04.043>) and versions for compositional data are also provided (Gallo (2015) <doi:10.1080/03610926.2013.798664>, Di Palma et al. (2018) <doi:10.1080/02664763.2017.1381669>). Several optimization methods alternative to ALS are available (Simonacci and Gallo (2019) <doi:10.1016/j.chemolab.2019.103822>, Simonacci and Gallo (2020) <doi:10.1007/s00500-019-04320-9>).