Extracts team records/schedules and player statistics for the 
    2020-2025 National Collegiate Athletic Association (NCAA) women's and men's
    divisions I, II, and III volleyball teams from <https://stats.ncaa.org>. 
    Functions can aggregate statistics for teams, conferences, divisions, or 
    custom groups of teams.

A flexible tool that can perform
    (i) traditional non-compartmental analysis (NCA) and
    (ii) Simulation-based posterior predictive checks for population
    pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using 
    NCA metrics. The methods are described in Acharya et al. (2016) 
    <doi:10.1016/j.cmpb.2016.01.013>.

Conduct a noncompartmental analysis with industrial strength.
             Some features are
             1) CDISC SDTM terms
             2) Automatic or manual slope selection
             3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method
             4) Interval(partial) AUCs with 'linear' or 'log' interpolation method
             5) Produce pdf, rtf, text report files.
             6) Produce Installation and Operational Qualification (IQ/OQ) reports in pdf.
             After installation, qualify the package in your own environment:
             run pdfIQ() for Installation Qualification and pdfOQ() for Operational
             Qualification. Run writeMD5() once after installation so the IQ
             file-integrity check passes. To approve a report, sign it digitally in
             Adobe Acrobat Reader (generate with sigField=TRUE, or run addSigField(),
             to add click-to-sign fields), instead of printing and scanning; or use
             signPDF()/verifyPDF() for a scriptable signature.
             * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).

Makes NCBI taxonomic data locally available and
        searchable as an R object.

Design and analysis of flexible platform trials with non-concurrent controls. Functions for data generation, analysis, visualization and running simulation studies are provided. 
    The implemented analysis methods are described in: 
    Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>, 
    Saville et al. (2022) <doi:10.1177/17407745221112013> and 
    Schmidli et al. (2014) <doi:10.1111/biom.12242>.