An implementation of methods for extracting a sparse unweighted network (i.e. a backbone)
    from an unweighted network (e.g., Hamann et al., 2016 <doi:10.1007/s13278-016-0332-2>), a weighted network
    (e.g., Serrano et al., 2009 <doi:10.1073/pnas.0808904106>), or a weighted projection (e.g., Neal et al., 2021
    <doi:10.1038/s41598-021-03238-3>).

Provides a backward-pipe operator for 'magrittr' (%<%) or 
    'pipeR' (%<<%) that allows for a performing operations from right-to-left. 
    This allows writing more legible code where right-to-left ordering is 
    natural. This is common with hierarchies and nested structures such as 
    trees, directories or markup languages (e.g. HTML and XML). 
    The package also includes a R-Studio add-in that can be bound to a keyboard 
    shortcut.

Functions introduced or changed since R v3.0.0 are re-implemented in this
    package. The backports are conditionally exported in order to let R resolve
    the function name to either the implemented backport, or the respective base
    version, if available. Package developers can make use of new functions or
    arguments by selectively importing specific backports to
    support older installations.

The backtest package provides facilities for exploring
        portfolio-based conjectures about financial instruments
        (stocks, bonds, swaps, options, et cetera).

Creates an interactive graphics 
             interface to visualize backtest results of different financial 
             instruments, such as equities, futures, and credit default swaps.
             The package does not run backtests on the given data set but 
             displays a graphical explanation of the backtest results. Users can
             look at backtest graphics for different instruments, investment 
             strategies, and portfolios. Summary statistics of different 
             portfolio holdings are shown in the left panel, and interactive 
             plots of profit and loss (P&L), net market value (NMV) and 
             gross market value (GMV) are displayed in the right panel.