Provides a unified framework for sparse-group regularization and
    precision matrix estimation in Gaussian graphical models. It implements
    multiple sparse-group penalties, including sparse-group lasso, sparse-group
    adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them
    efficiently using ADMM-based optimization. The package is designed for
    high-dimensional network inference where both sparsity and group structure
    are present.

Facilitates the citation of R packages used in analysis
    projects. Scans project for packages used, gets their citations, and
    produces a document with citations in the preferred bibliography
    format, ready to be pasted into reports or manuscripts. Alternatively,
    'grateful' can be used directly within an 'R Markdown' or 'Quarto' document.

Provides a coherent interface and implementation for creating
    grouped date classes.

Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.

Create graticule lines and labels for maps. Control the creation
    of lines or tiles by setting their placement (at particular meridians and parallels)
    and extent (along parallels and meridians). Labels are created independently of
    lines.

Generates synthetic time series based on various univariate
    time series models including MAR and ARIMA processes. Kang, Y.,
    Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.

Utilities to cost and evaluate Australian tax policy, including fast
    projections of personal income tax collections, high-performance tax and 
    transfer calculators, and an interface to common indices from the Australian
    Bureau of Statistics.  Written to support Grattan Institute's Australian 
    Perspectives program, and related projects. Access to the Australian Taxation
    Office's sample files of personal income tax returns is assumed.