Package: fdacluster
Title: Joint Clustering and Alignment of Functional Data
Version: 0.2.0
Type: Package
Authors@R: c(
    person(given = "Aymeric",
           family = "Stamm",
           role = c("aut", "cre"),
           email = "aymeric.stamm@cnrs.fr",
           comment = c(ORCID = "0000-0002-8725-3654")),
    person(given = "Laura",
           family = "Sangalli",
           role = "ctb",
           email = "laura.sangalli@polimi.it"),
    person(given = "Piercesare",
           family = "Secchi",
           role = "ctb",
           email = "piercesare.secchi@polimi.it"),
    person(given = "Simone",
           family = "Vantini",
           role = "ctb",
           email = "simone.vantini@polimi.it"),
    person(given = "Valeria",
           family = "Vitelli",
           role = "ctb",
           email = "valeria.vitelli@medisin.uio.no"),
    person(given = "Alessandro",
           family = "Zito",
           role = "ctb",
           email = "zito.ales@gmail.com"))
Description: Implementations of the popular k-means and hierarchical 
    agglomerative clustering (HAC) methods for functional data which allows for 
    jointly aligning and clustering curves. It supports functional data defined 
    on one-dimensional domains but possibly evaluating in multivariate 
    codomains. It supports functional data defined in arrays but also via the 
    'fd' and 'funData' classes for functional data defined in the 'fda' and 
    'funData' packages respectively. It currently supports shift, dilation and 
    affine warping functions for functional data defined on the real line and 
    uses the SRSF framework to handle boundary-preserving warping for functional 
    data defined on a specific interval. Main reference for the k-means 
    algorithm: Sangalli L.M., Secchi P., Vantini S., Vitelli V. (2010) "k-mean 
    alignment for curve clustering" <doi:10.1016/j.csda.2009.12.008>. Main 
    reference for the SRSF framework: Tucker, J. D., Wu, W., & Srivastava, A. 
    (2013) "Generative models for functional data using phase and amplitude 
    separation" <doi:10.1016/j.csda.2012.12.001>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
LinkingTo: Rcpp, RcppArmadillo, nloptr
RoxygenNote: 7.2.3
Suggests: fda, funData, future, knitr, rmarkdown, testthat (>= 3.0.0),
        withr
Imports: cli, cluster, dbscan, dplyr, fdasrvf, forcats, furrr, ggplot2,
        lpSolve, nloptr, progressr, purrr, Rcpp, rlang, tibble, tidyr
Depends: R (>= 3.5.0)
URL: https://astamm.github.io/fdacluster/index.html,
        https://github.com/astamm/fdacluster
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-17 12:00:03 UTC; stamm-a
Author: Aymeric Stamm [aut, cre] (<https://orcid.org/0000-0002-8725-3654>),
  Laura Sangalli [ctb],
  Piercesare Secchi [ctb],
  Simone Vantini [ctb],
  Valeria Vitelli [ctb],
  Alessandro Zito [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2023-05-18 09:50:09 UTC
