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.
             * 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>.

Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets.  Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily.  It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files.  This package replaces the former ncdf package, which only worked with netcdf version 3 files.  For various reasons the names of the functions have had to be changed from the names in the ncdf package.  The old ncdf package is still available at the URL given below, if you need to have backward compatibility.  It should be possible to have both the ncdf and ncdf4 packages installed simultaneously without a problem.  However, the ncdf package does not provide an interface for netcdf version 4 files.