Tools to make it easier to work with "tables" of 'grobs'. The
    'gtable' package defines a 'gtable' grob class that specifies a grid
    along with a list of grobs and their placement in the grid. Further
    the package makes it easy to manipulate and combine 'gtable' objects
    so that complex compositions can be built up sequentially.

Provides functions to analyze data exported from 'Google Takeout'. The package supports unzipping archives and extracting user review data from Google Business Profile exports into tidy data frames for further analysis.

Tools to streamline the extraction, processing, and visualization of
    Computable General Equilibrium (CGE) results from 'GTAP' models. Designed for
    compatibility with both .har and .sl4 files, the package enables users to
    automate data preparation, apply mapping metadata, and generate high-quality
    plots and summary tables with minimal coding. 'GTAPViz' supports flexible export
    options (e.g., Text, CSV, 'Stata', or 'Excel' formats).
    This facilitates efficient post-simulation analysis for
    economic research and policy reporting. Includes helper functions to filter,
    format, and customize outputs with reproducible styling.

Understanding how features influence a specific response variable becomes crucial in classification problems, with applications ranging from medical diagnosis to customer behavior analysis. 
			 This packages provides tools to compute such an influence measure grounded on game theory concepts.
			 In particular, the influence measures presented in Davila-Pena, Saavedra-Nieves, and Casas-Méndez (2024) <doi:10.48550/arXiv.2408.02481> can be obtained.

Computes the  probability density, survival function,
   the hazard rate functions and generates random samples from the 
   GTDL distribution given by Mackenzie, G. (1996) <doi:10.2307/2348408>. 
   The likelihood estimates, the randomized quantile (Louzada, F., et al. 
   (2020) <doi:10.1109/ACCESS.2020.3040525>)
   residuals and the normally transformed randomized survival 
   probability (Li,L., et al. (2021) <doi:10.1002/sim.8852>)
   residuals are obtained for the GTDL model.