BlasBenito/distantia: distantia 2.0

Version 2.0.0

• This new version involves a massive rewrite that will break any previous code based on this package. To install the previous version (1.0.2):

#install from CRAN archive
remotes::install_version(
  package = "distantia", 
  version = "1.0.2"
  )

#install from archive branch in GitHub
remotes::install_github(
  repo = "https://github.com/BlasBenito/distantia",
  ref = "v1.0.2"
  )

• Version 2.0.0 is a complete package rewrite from the ground up:

  • All core functions have been rewritten in C++ for increased speed and memory efficiency, and proper R wrappers for these functions are provided.

  • All functions and their arguments follow more modern naming conventions, and simplified interfaces to improve the user experience.

  • Most time series operations use the zoo library underneath, ensuring data consistency, computational speed, and memory efficiency.

  • Lists of zoo objects, named "time series lists" ("tsl" for short) throughout the package documentation, are used to organize time series data.

  • A complete toolset to manage time series lists is provided. All functions belonging are named using the prefix tsl_...(). There are tools to generate, aggregate, resample, transform, plot, map, and analyze univariate or multivariate regular or irregular time series.

  • Most functions taking time series lists as inputs are parallelized using the future package, and progress bars for parallelized operations are available as well via the progressr package.

  • New example datasets from different disciplines and functions to generate simulated time series are shipped with the package to improve the learning experience.