Process and Display Data from Air Quality Sensors
c(
person("Jonathan", "Callahan", email="jonathan.s.callahan@gmail.com", role=c("aut","cre")),
person("Hans", "Martin", email="hans@mazamascience.com", role=c("aut")),
person("Kayleigh", "Wilson", email="andrakayleigh@gmail.com", role=c("aut")),
person("Tate", "Brasel", email="tatebrasel6@gmail.com", role=c("aut")),
person("Helen", "Miller", email="helen@ohana.org", role=c("aut")),
person("Vasileios", "Papapostolou", email="vpapapostolou@aqmd.gov", role=c("ctb")),
person("Ashley", "Collier-Oxandale", email="Acollier-oxandale@aqmd.gov", role=c("ctb")),
person("Brandon", "Feenstra", email="bfeenstra@aqmd.gov", role=c("ctb"))
)
Jonathan Callahan [aut, cre],
Hans Martin [aut],
Kayleigh Wilson [aut],
Tate Brasel [aut],
Helen Miller [aut],
Vasileios Papapostolou [ctb],
Ashley Collier-Oxandale [ctb],
Brandon Feenstra [ctb]
countrycode, cowplot, dplyr (>= 1.0.0), dygraphs, geodist,
geosphere, GGally, ggmap, ggplot2, gridExtra, httpcode, httr,
jsonlite, leaflet, lubridate, magrittr, MazamaCoreUtils (>=
0.4.2), MazamaLocationUtils (>= 0.1.6), MazamaSpatialUtils (>=
0.6.3), openair, PWFSLSmoke (>= 1.2.100), readr, RColorBrewer,
rlang, scales, seismicRoll, sp, stringr, tibble, tidyr,
tidyselect, worldmet (>= 0.9.2), xts, zoo
Process and display data from air quality sensors.
Initial focus is on PM2.5 measurements from sensors produced by 'PurpleAir'
<https://www2.purpleair.com>.

countrycode, cowplot, dplyr (>= 1.0.0), dygraphs, geodist,
geosphere, GGally, ggmap, ggplot2, gridExtra, httpcode, httr,
jsonlite, leaflet, lubridate, magrittr, MazamaCoreUtils (>=
0.4.6), MazamaLocationUtils (>= 0.1.13), MazamaSpatialUtils (>=
0.7.3), openair, PWFSLSmoke (>= 1.2.111), readr, RColorBrewer,
rlang, scales, seismicRoll, sp, stringr, tibble, tidyr,
tidyselect, worldmet (>= 0.9.2), xts, zoo

W. E. Wansouwé, S. M. Somé and C. C. Kokonendji
Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using  associated kernels. The cross-validation  technique and the local Bayesian procedure are also implemented for bandwidth selection.