Interval Testing Procedure for Functional Data

Implementation of the Interval Testing Procedure for functional data in different frameworks (i.e., one or two-population frameworks, functional linear models) by means of different basis expansions (i.e., B-spline, Fourier, and phase-amplitude Fourier). The current version of the package requires functional data evaluated on a uniform grid; it automatically projects each function on a chosen functional basis; it performs the entire family of multivariate tests; and, finally, it provides the matrix of the p-values of the previous tests and the vector of the corrected p-values. The functional basis, the coupled or uncoupled scenario, and the kind of test can be chosen by the user. The package provides also a plotting function creating a graphical output of the procedure: the p-value heat-map, the plot of the corrected p-values, and the plot of the functional data.


Release 1.0 (2013-07-23): one and two population t-tests implemented.

Release 2.0 (2014-11-24): added ITPlmbspline and ITPaovbspline for testing functional ANOVA and linear models.

Release 2.1 (2015-02-05): faster version of ITPlmbspline and ITPaovbspline functions.

Reference manual

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2.1 by Alessia Pini, 7 years ago

Browse source code at

Authors: Alessia Pini , Simone Vantini

Documentation:   PDF Manual  

Task views: Functional Data Analysis

GPL-2 license

Depends on fda

Imported by robin.

See at CRAN