cfda: Categorical Functional Data Analysis

cfda provides functions for the analysis of categorical functional data.

The main contribution is the computation of an optimal encoding (real functional variable) of each state of the categorical functional data.

Installation

From CRAN:

install.packages("cfda")

From github:

library(remotes)
install_github("modal-inria/cfda", build_vignettes = TRUE)

Vignette

Once the package is installed, a vignette describing the mathematical background and showing an example is available using the R command:

RShowDoc("cfda", package = "cfda")

Credits

cfda is developed by Cristian Preda (Inria Lille, Université de Lille), Quentin Grimonprez (Inria Lille) and Vincent Vandewalle (Inria Lille, Université de Lille).

Citation

Preda C, Grimonprez Q, Vandewalle V. Categorical Functional Data Analysis. The cfda R Package. Mathematics. 2021; 9(23):3074. https://doi.org/10.3390/math9233074

@Article{,
  title = {Categorical Functional Data Analysis. The cfda R Package},
  author = {Cristian Preda and Quentin Grimonprez and Vincent Vandewalle},
  journal = {Mathematics},
  year = {2021},
  volume = {9},
  number = {23},
  url = {https://www.mdpi.com/2227-7390/9/23/3074},
  doi = {10.3390/math9233074},
}

Licence

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.