Developed for Computing the probability density function, cumulative 
             distribution function, random generation, estimating the parameters of asymmetric
             exponential power distribution, and robust regression analysis with error
             term that follows asymmetric exponential power distribution. The asymmetric
             exponential power distribution studied here is a special case of that introduced
             by Dongming and Zinde-Walsh (2009) <doi:10.1016/j.jeconom.2008.09.038>.

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>.

Estimates the attributable fraction in different sampling designs
    adjusted for measured confounders using logistic regression (cross-sectional
    and case-control designs), conditional logistic regression (matched case-control
    design), Cox proportional hazard regression (cohort design with time-to-
    event outcome), gamma-frailty model with a Weibull baseline hazard and instrumental variables analysis.
    An exploration of the AF with a genetic exposure can be found in the package 'AFheritability' Dahlqwist E et al. (2019) <doi:10.1007/s00439-019-02006-8>.