An R interface to the 'Base dos Dados' API <https:basedosdados.github.io/mais/py_reference_api/>). Authenticate your project, query our tables, save data to disk and memory, all from R.

Some very simple infrastructure for basis functions.

Collection of baseline correction algorithms, along with a framework and a Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.

A lightweight package to access spatial basemaps from open sources such as 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.

Providing equivalent functions for the dummy
    classifier and regressor used in 'Python' 'scikit-learn' library. Our goal
    is to allow R users to easily identify baseline performance for their
    classification and regression problems. Our baseline models use no
    predictors, and are useful in cases of class imbalance, multiclass
    classification, and when users want to quickly identify how much
    improvement their statistical and machine learning models are over several
    baseline models. We use a "better" default (proportional guessing) for
    the dummy classifier than the 'Python' implementation ("prior", which is
    the most frequent class in the training set). The functions in the
    package can be used on their own, or introduce methods named
    'dummy_regressor' or 'dummy_classifier' that can be used within the
    caret package pipeline.

Primarily created as an easy and understanding way to do basic sequences surrounding the central dogma of molecular biology.

Implements a class and methods to work with sets,
    doing intersection, union, complementary sets, power sets, cartesian
    product and other set operations in a "tidy" way. These set operations
    are available for both classical sets and fuzzy sets. Import sets from
    several formats or from other several data structures.