Author: Jader Lugon Junior, Pedro Paulo Gomes Watts Rodrigues, Luiz Bevilacqua, Gisele Moraes Marinho, Diego Campos Knupp, Joao Flavio Vieira Vasconcellos and Antonio Jose da Silva Neto.

person("Francisco Javier Cantero", role = c("aut","cre"),
person("Juan Jose Cuadrado", role = c("aut"),
person("Universidad de Alcala de Henares", role = c("aut"))
Author: Francisco Javier Cantero [aut, cre],
Maintainer: Francisco Javier Cantero <fco.cantero@edu.uah.es>
Description: Provides different functionalities and calculations used in the world of basketball to analyze the statistics of the players, the statistics of the teams, the statistics of the quintets and the statistics of the plays. For more details of the calculations included in the package can be found in the book Basketball on Paper written by Dean Oliver.
Packaged: 2021-02-07 12:40:25 UTC; Javier Cantero

Packaged: 2021-04-06 11:32:38 UTC; Javier Cantero

Title: A Computational Tool for Aerobiological Data
Author: Jesus Rojo, Antonio Picornell, Jose Oteros
Maintainer: "Jesus Rojo, Antonio Picornell, Jose Oteros" <aerobiology.package@gmail.com>
Description: 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...
Imports: devtools, plyr, dplyr, reshape2, writexl, ggvis, lubridate,
plotly, ggplot2, imager, tidyr, circular, scales, grDevices,

Author: Jesús Rojo <Jesus.Rojo@uclm.es>, Antonio Picornell <picornell@uma.es>, Jose Oteros <OterosJose@gmail.com>

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