Contains functions for solving commonly encountered problems while
    programming in R. This package is intended to provide a lightweight 
    supplement to Base R, and will be useful for almost any R user.

Generates the scripts required to create an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) database and associated documentation for supported database platforms. Leverages the 'SqlRender' package to convert the Data Definition Language (DDL) script written in parameterized Structured Query Language (SQL) to the other supported dialects.

Useful libraries for building a Java based GUI under R are provided.

The CommonMark specification defines a rationalized version of markdown
    syntax. This package uses the 'cmark' reference implementation for converting
    markdown text into various formats including html, latex and groff man. In
    addition it exposes the markdown parse tree in xml format. Also includes opt-in
    support for GFM extensions including tables, autolinks, and strikethrough text.

Estimate bivariate common mean vector under copula models with known correlation. In the current version, available copulas are the Clayton, Gumbel, Frank, Farlie-Gumbel-Morgenstern (FGM), and normal copulas. See Shih et al. (2019) <doi:10.1080/02331888.2019.1581782> and Shih et al. (2021) <under review> for details under the FGM and general copulas, respectively.

'Java' JAR files for the Apache Commons Mathematics Library for use by users and other packages.

Provides fast, easy feature extraction of human speech and model estimation
	     with hidden Markov models. Flexible extraction of phonetic features and their
	     derivatives, with necessary preprocessing options like feature standardization.
	     Communication can estimate supervised and unsupervised hidden Markov models with
	     these features, with cross validation and corrections for auto-correlation in
	     features. Methods developed in Knox and Lucas (2021) <doi:10.7910/DVN.8BTOHQ>.