Provides the means to convert 'multiqc_data.json' files,
    produced by the wonderful 'MultiQC' tool, into tidy data frames for downstream
    analysis in R. This analysis might involve cohort analysis, quality control visualisation,
    change-point detection, statistical process control, clustering, or any other
    type of quality analysis.

Provides drop-in replacements for common R functions (mean(), sum(), sd(), min(), etc.) that default to 'na.rm = TRUE' and issue warnings when missing values are removed. It handles some special cases. The table() default is set to 'useNA = ifany'.

Tidy tools for 'NetCDF' data sources. Explore the contents of a 
 'NetCDF' source (file or URL) presented as variables organized by grid with a 
 database-like interface. The hyper_filter() interactive function translates the 
 filter value or index expressions to array-slicing form. No data is read until 
 explicitly requested, as a data frame or list of arrays via hyper_tibble() or 
 hyper_array().

An implementation of tidy speaker vowel normalization.
    This includes generic functions for defining new normalization methods for
    points, formant tracks, and Discrete Cosine Transform coefficients, as well
    as convenience functions implementing established normalization methods.
    References for the implemented methods are:
    Johnson, Keith (2020) <doi:10.5334/labphon.196>
    Lobanov, Boris (1971) <doi:10.1121/1.1912396>
    Nearey, Terrance M. (1978) <https://sites.ualberta.ca/~tnearey/Nearey1978_compressed.pdf>
    Syrdal, Ann K., and Gopal, H. S. (1986) <doi:10.1121/1.393381>
    Watt, Dominic, and Fabricius, Anne (2002) <https://www.latl.leeds.ac.uk/article/evaluation-of-a-technique-for-improving-the-mapping-of-multiple-speakers-vowel-spaces-in-the-f1-f2-plane/>.

Lightweight utilities for working with OMOP (Observational Medical
    Outcomes Partnership) Common Data Model (CDM) data in the Observational Health Data Sciences and Informatics ecosystem. Provides
    base-R re-implementations of common 'purrr' functional helpers, tools to convert plain data frames into 'CIRCE'
    concept set expressions, SQL generators for resolving concept sets against
    an OMOP vocabulary schema without requiring 'CirceR'.