A Computational Tool for Aerobiological Data
Jesus Rojo, Antonio Picornell, Jose Oteros
"Jesus Rojo, Antonio Picornell, Jose Oteros" <aerobiology.package@gmail.com>
Different tools for managing aeriobiological databases, 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...
devtools, plyr, dplyr, reshape2, writexl, ggvis, lubridate,
plotly, ggplot2, imager, tidyr, circular, scales, grDevices,
zoo, grid

Jesús Rojo <Jesus.Rojo@uclm.es>, Antonio Picornell <picornell@uma.es>, Jose Oteros <OterosJose@gmail.com>
devtools, plyr, dplyr, reshape2, writexl, ggvis, lubridate,
plotly, ggplot2, imager, tidyr, circular, scales, grDevices,
zoo, grid, purrr, colorspace, httpuv

Jesus Rojo <Jesus.Rojo@uclm.es>, Antonio Picornell <picornell@uma.es>, Jose Oteros <OterosJose@gmail.com>
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...
dplyr, writexl, ggvis, lubridate, plotly, ggplot2, tidyr,
circular, scales, grDevices, zoo, grid, data.table

Bayesian Adaptive Elastic-Net for high dimensional sparse
quantile regression models
This package provides functions for variable selection and
estimation for quantile regressions in high-dimensional sparse
models, both continuous as well as binary dependent variables
are supported.

Estimate Aerosol Particle Collection Through Sample Lines
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>.
dplyr, purrr, magrittr, tidyr, ggplot2, ggthemes, stringr,
tidyselect