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

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>.

Provides a 'shiny' dashboard and plotting utilities to explore and
    report 'VALD ForceDecks' testing data. Includes interactive modules for
    metric exploration, radar charts, longitudinal comparisons, quadrant plots,
    and athlete reports.

Uses large language models to create poems about R packages.
   Currently contains the roses() function to make "roses are red, ..." style 
   poems and the prompt() function to only assemble the prompt without submitting 
   it to the model.

Alternative splicing produces a variety of different protein products from a given gene. 'VALERIE' enables visualisation of alternative splicing events from high-throughput single-cell RNA-sequencing experiments. 'VALERIE' computes percent spliced-in (PSI) values for user-specified genomic coordinates corresponding to alternative splicing events. PSI is the proportion of sequencing reads supporting the included exon/intron as defined by Shiozawa (2018) <doi:10.1038/s41467-018-06063-x>. PSI are inferred from sequencing reads data based on specialised infrastructures for representing and computing annotated genomic ranges by Lawrence (2013) <doi:10.1371/journal.pcbi.1003118>. Computed PSI for each single cell are subsequently presented in the form of a heatmap implemented using the 'pheatmap' package by Kolde (2010) <https://CRAN.R-project.org/package=pheatmap>. Board overview of the mean PSI difference and associated p-values across different user-defined groups of single cells are presented in the form of a line graph using the 'ggplot2' package by Wickham (2007) <https://CRAN.R-project.org/package=ggplot2>.