Calculate generalized R-squared, partial R-squared, and partial correlation coefficients for generalized linear (mixed) models (including quasi models with well defined variance functions).

Allows the user to generate and execute select, insert, update and delete 'SQL' queries the underlying database without having to explicitly write 'SQL' code.

Embeds the SQLite database engine in R and provides an
    interface compliant with the DBI package. The source for the SQLite
    engine and for various extensions is included.
    System libraries will never be consulted because this package relies
    on static linking for the plugins it includes; this also ensures a
    consistent experience across all installations. Optionally, when
    libcurl is available at build time, an experimental HTTP/HTTPS
    virtual file system (VFS) can be enabled to allow read-only access
    to remote immutable SQLite database files via URIs.

A lightweight wrapper around the 'RSQLite' package for streamlined loading of
    data from tabular files (i,e. text delimited files like Comma Separated Values and
    Tab Separated Values, Microsoft Excel, and Arrow Inter-process Communication files)
    in 'SQLite' databases. Includes helper functions for inspecting the structure of
    the input files, and some functions to simplify activities on the 'SQLite' tables.

Parser for 'SQL' statements. Currently, it supports parsing of only 'SELECT' statements.

An implementation of calculating the R-squared measure as a total mediation effect size measure and its confidence interval for moderate- or high-dimensional mediator models. It gives an option to filter out non-mediators using variable selection methods. The original R package is directly related to the paper Yang et al (2021) "Estimation of mediation effect for high-dimensional omics mediators with application to the Framingham Heart Study" <doi:10.1101/774877>. The new version contains a choice of using cross-fitting, which is computationally faster. The details of the cross-fitting method are available in the paper Xu et al (2023) "Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting" <doi:10.1101/2023.02.06.527391>.