fdacluster 0.4.0

Major features

• Expanded arguments of fdakmeans() to allow for more control over the type of
  input functional data:
  • is_domain_interval allows one to state if all curves are defined on the
    same fixed interval;
  • transformation specifies the transformation to be applied to the data
    before clustering.
  • check_option_compatibility() handles errors when incompatible
    options are selected.
• Created two separate C++ classes for $L^2$ distance and normalized $L^2$
  distance; the former cannot be used in combination with dilation or affine
  warping classes because it is not invariant to these transformations.

Minor improvements and bug fixes

• Integrated distances in C++ classes are now computed via arma::trapz().
• Added talk given at Rencontres R 2023 in Avignon, France to the News section
  of the website.
• Reduced number of dependencies: removed dplyr, forcats, tidyr, purrr.
• Replaced furrr dependency in favor of future.apply to further reduce number of
  dependencies.
• Updated README file.
• Updated GHA workflows.
• Updated vignettes.
• Bug fixes.