In bulk epigenome/transcriptome experiments, molecular expression
    is measured in a tissue, which is a mixture of multiple types of cells.
    This package tests association of a disease/phenotype with a molecular marker
    for each cell type.
    The proportion of cell types in each sample needs to be given as input.
    The package is applicable to epigenome-wide association study (EWAS) and
    differential gene expression analysis.
    Takeuchi and Kato (submitted)
    "omicwas: cell-type-specific epigenome-wide and transcriptome association study".

Implements the Univariate Bootstrap and the Traditional
    (Naive) Bootstrap for resampling multivariate data while preserving
    covariance structure. Also provides functions for DeFries-Fulker
    behavioral genetics models, including the Rodgers-Kohler formulation
    with robust standard errors.

An assortment of helper functions for managing data (e.g.,
	rotating values in matrices by a user-defined angle, switching from
	row- to column-indexing), dates (e.g., intuiting year from messy date
	strings), handling missing values (e.g., removing elements/rows across
	multiple vectors or matrices if any have an NA), text (e.g.,
	flushing reports to the console in real-time); and combining data frames
	with different schema (copying, filling, or concatenating columns or
	applying functions before combining).

Creates mock data for testing and package development for the
    Observational Medical Outcomes Partnership common data model. The
    package offers functions crafted with pipeline-friendly
    implementation, enabling users to effortlessly include only the
    necessary tables for their testing needs.

Provides functionality to construct standardised tables from health
    care data formatted according to the Observational Medical Outcomes 
    Partnership (OMOP) Common Data Model. The package includes tools to build 
    key tables such as observation period and drug era, among others.

Provides definitions of core classes and methods used by analytic 
    pipelines that query the OMOP (Observational Medical Outcomes Partnership) 
    common data model.