Changes in version 3.1.0 (2024-01-10)                  

New Additions

The new following functions are replaced to GitHub load data:

  - loadCallcenterData()
  - loadJambiData()
  - loadMontanaData()
  - loadAustinData()
  - loadUtqiagvikData()

In these updated functions, upon downloading the data files from GitHub
into a temporary directory (not the global environment), the target
objects are now returned within the function. This modification allows
users to save the data into an arbitrary variable of their choice.

                 Changes in version 3.0.2 (2023-10-26)                  

Minor improvements and bug fixes

  - Fixed a bug in title of the 3Dline and 3DSurface type plots in
    plotly_funts that prevented plotting.

                 Changes in version 3.0.0 (2023-10-14)                  

Updates

  - The name fts has been modified to funts to avoid any clashes with
    the package. Furthermore, the class of funts has bee transitioned
    from S4 to S3 to ensure better compatibility and consistency within
    the package. These changes are aimed at preventing any conflicts
    when using Rfssa in conjunction with other packages like rainbow,
    enhancing the user experience.

  - All the methods for funts have re-implemented and introduced new
    generic methods such as length(), print(), and plot() to provide a
    more comprehensive and user-friendly interface.

  - The plot() method for funts class objects (formerly fts) has been
    renamed to plotly_funts(). This new name more accurately reflects
    the type of plots it generates, which are based on plotly graphics.

New Additions

  - An S3 class named fforecast is added to encapsulate the output of
    the fforecast() function. This class is designed to provide a more
    organized and intuitive structure for handling forecasted functional
    time series (FTS) data.

  - Three convenient functions, namely loadJambiData(),
    loadCallcenterData(), and loadMontanaData() are added. These
    functions have been designed to simplify the process of acquiring
    the raw dataset from the web and loading it into the global
    environment.

Minor improvements and bug fixes

  - In the latest version of the package, two new parameters, start and
    end, have been introduced in the funts function to capture the
    duration of the time series. These parameters provide flexibility
    for users to specify time information in a more structured and
    standardized manner. Users can now set start and end using various
    time and date classes such as Date, POSIXct, or POSIXt, allowing for
    better representation of time.

                 Changes in version 2.0.1 (2022-01-09)                  

Updates

  - fts updated to be a constructor of a new S4 object that is used to
    create objects of class fts. Note that the user may specify their
    own basis and grid or may specify that they want the constructor to
    build such attributes automatically. In addition, the fts may be
    comprised of variables observed over one or two-dimensional domains.
    This constructor also has custom validity checks built in to help
    the user construct fts objects.

  - fts.plot was updated to allow for plotting of fts variables observed
    over two-dimensional domains.

  - fssa updated so that univariate and multivariate fts objects may be
    decomposed where each variable may be observed over a one or
    two-dimensional domain. In addition, the speed of the decomposition
    process was increased by using the Rspectra and RcppEigen R
    packages, and the Eigen C++ package.

  - plot.fssa was updated to allow the user to plot the left singular
    functions for fts whose variables have domains over two-dimensions.
    All other plotting options were updated to handle the
    two-dimensional domain functionality as well.

  - freconstruct updated to allow for the reconstruction stage of
    univariate and multivariate fts objects whose variables might be
    might observed over one or two-dimensional domains.

  - Arithmetic operations such as fts addition and fts subtraction have
    been updated to allow for numeric vector-fts arithmetic.

New Additions

  - fforecast was added to allow for nonparametric forecasting of fts
    objects via fssa recurrent or fssa vector forecasting. The approach
    begins with objects of class fssa. The fts may be univariate or
    multivariate however, the variables must be observed over a
    one-dimensional domain. Different dimensional domains forecasting is
    under development.

  - Montana was added to provide an example of a multivariate fts whose
    variables are observed over a one-dimensional and two-dimensional
    domain.

  - load_github_data was added to allow the user to load the Callcenter,
    Jambi, and Montana datasets from GitHub which significantly reduced
    the size of the package. In addition, this same function may be used
    to load data from any other public GitHub repository.

Minor improvements and bug fixes

  - Fixed a bug in line type plots in plot.fts that prevented plotting.