Functions, data sets, examples, demos, and vignettes for the book
             Christian Kleiber and Achim Zeileis (2008),
	     Applied Econometrics with R, Springer-Verlag, New York.
	     ISBN 978-0-387-77316-2. <doi:10.1007/978-0-387-77318-6>
             (See the vignette "AER" for a package overview.)

Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...

Developed as an 'R' alternative to the 'AeroEvap' model developed by
    the Desert Research Institute (DRI) in 'python' <https://github.com/WSWUP/AeroEvap/blob/master/README.rst> which estimates open water 
    evaporation using the aerodynamic mass transfer approach.

Estimate ideal efficiencies of aerosol sampling through sample
    lines. Functions were developed consistent with the approach described in 
    Hogue, Mark; Thompson, Martha; Farfan, Eduardo; Hadlock, Dennis, (2014), 
    "Hand Calculations for Transport of Radioactive Aerosols through Sampling 
    Systems" Health Phys 106, 5, S78-S87, <doi:10.1097/HP.0000000000000092>.

Provides a tidy text corpus of Aesop's Fables sourced from the
    Library of Congress, along with analysis-ready datasets for sentiment,
    emotion, and linguistic analysis of moral storytelling. The package
    includes both full narrative texts and word-level representations to
    support exploratory text analysis and teaching workflows.

This is an implementation of the Generalized Discrimination Score
    (also known as Two Alternatives Forced Choice Score, 2AFC) for various 
    representations of forecasts and verifying observations. The Generalized 
    Discrimination Score is a generic forecast verification framework which 
    can be applied to any of the following verification contexts: dichotomous, 
    polychotomous (ordinal and nominal), continuous, probabilistic, and ensemble.
    A comprehensive description of the Generalized Discrimination Score, including 
    all equations used in this package, is provided by Mason and Weigel (2009) 
    <doi:10.1175/MWR-D-10-05069.1>.