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.

Contains a collection of helper functions for dealing with 
    'NetCDF' files <https://www.unidata.ucar.edu/software/netcdf/> 
    opened using 'ncdf4', particularly 'NetCDF' files that conform to the
    Climate and Forecast (CF) Metadata Conventions 
    <http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html>.

Network Common Data Form (NetCDF) files are widely used for 
    scientific data. Library-level access in R is provided through packages 
    'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and 
    makes the data and its attributes available as a set of S4 classes that are 
    informed by the Climate and Forecasting Metadata Conventions. Access to the 
    data uses standard R subsetting operators and common function forms.