High-performance parsing of 'Tableau' workbook files into
    tidy data frames and dependency graphs for other visualization tools
    like R 'Shiny' or 'Power BI' replication, plus an interactive 'Shiny'
    workbook inspector for uploaded .twb and .twbx files.

An open-access tool/framework that constitutes the core functions
  to analyze terrestrial water cycle data across various spatio-temporal scales.

Implements Time-Weighted Dynamic Time Warping (TWDTW), 
    a measure for quantifying time series similarity. The TWDTW algorithm, 
    described in Maus et al. (2016) <doi:10.1109/JSTARS.2016.2517118> and 
    Maus et al. (2019) <doi:10.18637/jss.v088.i05>, is applicable to multi-dimensional 
    time series of various resolutions. It is particularly suitable for comparing 
    time series with seasonality for environmental and ecological data analysis, 
    covering domains such as remote sensing imagery, climate data, hydrology, 
    and animal movement. The 'twdtw' package offers a user-friendly 'R' interface, 
    efficient 'Fortran' routines for TWDTW calculations, flexible time weighting 
    definitions, as well as utilities for time series preprocessing and visualization.

Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi:10.1007/s11222-005-4070-y>) and the Fourier inversion  (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.

Provides density, distribution function, quantile function, and random
    generation for the Tweedie distribution under the compound Poisson-Gamma
    parameterisation with power parameter in (1, 2). The density is evaluated
    using the series expansion of Dunn and Smyth (2005) <doi:10.1007/s11222-005-4070-y>,
    implemented in C++ via 'Rcpp' and 'RcppArmadillo' for performance. A constructor
    compatible with the 'distributional' package is also provided for use in tidy
    modelling workflows.

In order to create smooth animation between states of data,
    tweening is necessary. This package provides a range of functions for
    creating tweened data that can be used as basis for animation. Furthermore 
    it adds a number of vectorized interpolaters for common R data 
    types such as numeric, date and colour.