Sparse Method to Identify Joint Effects of Functional Predictors

A set of functions allowing to implement the 'SpiceFP' approach which is iterative. It involves transformation of functional predictors into several candidate explanatory matrices (based on contingency tables), to which relative edge matrices with contiguity constraints are associated. Generalized Fused Lasso regression are performed in order to identify the best candidate matrix, the best class intervals and related coefficients at each iteration. The approach is stopped when the maximal number of iterations is reached or when retained coefficients are zeros. Supplementary functions allow to get coefficients of any candidate matrix or mean of coefficients of many candidates. < https://hal.archives-ouvertes.fr/hal-03298977>.


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install.packages("SpiceFP")

0.1.0 by Girault Gnanguenon Guesse, 10 days ago


Browse source code at https://github.com/cran/SpiceFP


Authors: Girault Gnanguenon Guesse [aut, cre] , Patrice Loisel [aut] , Benedicte Fontez [aut] , Nadine Hilgert [aut] , Thierry Simonneau [ctr] , Isabelle Sanchez [ctr]


Documentation:   PDF Manual  


GPL-3 license


Imports doParallel, foreach, stringr, tidyr, Matrix, genlasso, purrr, gplots

Suggests rmarkdown, knitr, fields


See at CRAN