Multiple Contrast Tests for Functional Data

The provided package implements multiple contrast tests for functional data (Munko et al., 2023, ). These procedures enable us to evaluate the overall hypothesis regarding equality, as well as specific hypotheses defined by contrasts. In particular, we can perform post hoc tests to examine particular comparisons of interest. Different experimental designs are supported, e.g., one-way and multi-way analysis of variance for functional data.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("multiFANOVA")

0.1.0 by Lukasz Smaga, 3 years ago


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


Authors: Marc Ditzhaus [aut] , Merle Munko [aut] , Markus Pauly [aut] , Lukasz Smaga [aut, cre] , Jin-Ting Zhang [aut]


Documentation:   PDF Manual  


LGPL-2 | LGPL-3 | GPL-2 | GPL-3 license


Imports doParallel, MASS, foreach, Matrix, GFDmcv, fda


See at CRAN