Import excel files into R. Supports '.xls' via the embedded
    'libxls' C library <https://github.com/libxls/libxls> and '.xlsx' via
    the embedded 'RapidXML' C++ library
    <https://rapidxml.sourceforge.net/>.  Works on Windows, Mac and Linux
    without external dependencies.

A template model module, tools to help find model modules
    derived from this template and a programming syntax to use these
    modules in health economic analyses.  These elements are the
    foundation for a prototype software framework for developing living
    and transferable models and using those models in reproducible health
    economic analyses. The software framework is extended by other R
    libraries.  For detailed documentation about the framework and how to
    use it visit <https://www.ready4-dev.com/>. For a background to the
    methodological issues that the framework is attempting to help solve,
    see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.

Provides a flexible and streamlined pipeline for formatting, analyzing, and 
    visualizing omics data, regardless of omics type (e.g. transcriptomics, proteomics, 
    metabolomics). The package includes tools for shaping input data into analysis-ready 
    structures, fitting linear or mixed-effect models, extracting key contrasts, and 
    generating a rich variety of ready-to-use publication-quality plots. 
    Designed for transparency and reproducibility across a wide range of study designs, 
    with customizable components for statistical modeling.

Provides access to Brazilian real estate market data from multiple
    official sources: the Central Bank of Brazil (BCB), the Brazilian
    Association of Real Estate Developers (ABRAINC), the Brazilian Association
    of Real Estate Credit and Savings Entities (ABECIP), the Getulio Vargas
    Foundation (FGV), and the Bank for International Settlements (BIS).

Provides tools for simulating synthetic survival data using a variety of
    methods, including kernel density estimation, parametric distribution fitting,
    and bootstrap resampling techniques for a desired sample size.