The most used functions on IPEA (Instituto de Pesquisa Economica Aplicada). 
             Most of functions deal with brazilian names. 
             It can guess the women single's name, extract prepositions or extract the first name.

An engine for univariate time series forecasting using
    different regression models in an autoregressive way. The engine
    provides an uniform interface for applying the different models. 
    Furthermore, it is extensible so that users can easily apply their
    own regression models to univariate time series forecasting and 
    benefit from all the features of the engine, such as preprocessings
    or estimation of forecast accuracy.

Tools for generating and handling of UUIDs (Universally Unique Identifiers).

Generate, parse, and validate RFC 9562 UUIDs from R using the
    Rust 'uuid' crate via 'extendr'. Developed by Thomas Bryce Kelly at Icy
    Seas Co-Laboratory LLC. Version 7 UUIDs are the default for new
    identifiers, while versions 4, 5, 6, and legacy version 1 are also
    supported. Functions return character vectors by default and can also
    expose 16-byte raw representations for low-level workflows.

Estimate ambient vitamin D-effective or erythemal dose using ultraviolet radiation (UV) data from the 'TEMIS' database, based on date and geographical location.

A tool for checking how much information is disclosed when
    reporting summary statistics.

A method for estimating log-normalizing constants (or free
        energies) and expectations from multiple distributions (such as
        multiple generalized ensembles).

An implementation of the Uniform Manifold Approximation and
    Projection dimensionality reduction by McInnes et al. (2018)
    <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and
    to carry out supervised dimensionality reduction. An implementation of
    the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370>
    is also provided. This is a complete re-implementation in R (and C++,
    via the 'Rcpp' package): no Python installation is required. See the
    uwot website (<https://github.com/jlmelville/uwot>) for more
    documentation and examples.