Provides access to the 'Vagalume' API <https://api.vagalume.com.br>. 
    The data extracted is basically lyrics of songs and information about
    artists/bands.

Fits generalized additive models (GAMs) using a variational approximations (VA) framework. In brief, the VA framework provides a fully or at least closed to fully tractable lower bound approximation to the marginal likelihood of a GAM when it is parameterized as a mixed model (using penalized splines, say). In doing so, the VA framework aims offers both the stability and natural inference tools available in the mixed model approach to GAMs, while achieving computation times comparable to that of using the penalized likelihood approach to GAMs. See Hui et al. (2018) <doi:10.1080/01621459.2018.1518235>.

Estimates joint marker (longitudinal) and
    survival (time-to-event) outcomes using variational approximations.
    The package supports multivariate markers allowing for
    correlated error terms and multiple types of survival outcomes which may be
    left-truncated, right-censored, and recurrent. Time-varying fixed and
    random covariate effects are supported along with non-proportional hazards.

A set of basic tools to transform functions into functions with
    input validation checks, in a manner suitable for both programmatic and
    interactive use.

Provides a robust and reproducible pipeline for extracting,
    cleaning, and analyzing athlete performance data generated by 'VALD'
    'ForceDecks' systems. The package supports batch-oriented data processing
    for large datasets, standardized data transformation workflows, and
    visualization utilities for sports science research and performance
    monitoring. It is designed to facilitate reproducible analysis across
    multiple sports with comprehensive documentation and error handling.

Provides helper functions and wrappers to simplify authentication, 
    data retrieval, and result processing from the 'VALD' 'APIs'. 
    Designed to streamline integration for analysts and researchers working 
    with 'VALD's external 'APIs'.
    For further documentation on integrating with 'VALD' 'APIs', see:
    <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>.
    For a step-by-step guide to using this package, see:
    <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.