knitr, rmarkdown, ggmap (>= 2.6), pander, testthat

person("Blake", "Seers", role = c("aut", "cre"),
email = "blake.seers@gmail.com",
comment = c(ORCID = "http://orcid.org/0000-0001-6841-4312"))
methods, lubridate, xml2, magrittr, RCurl, utils, ggplot2 (>=
2.0.0), scales, RColorBrewer, reshape2
r, opensci, zealand, weather, climate, cliflo,
data, api, windrose, rain, wind, temperature

spelling, knitr, rmarkdown, ggmap (>= 2.6), pander, testthat

methods, lubridate, xml2, magrittr, RCurl, utils, ggplot2 (>=
2.0.0), scales, RColorBrewer, reshape2, rvest
spelling, knitr, rmarkdown, pander, testthat

methods, stats, graphics, lubridate, xml2, magrittr, utils,
ggplot2 (>= 2.0.0), scales, RColorBrewer, reshape2, rvest,
httr, stringr

Censoring Data and Likelihood-Based Correlation Estimation
Yanming Li, Kerby Shedden, Brenda W. Gillespie and John A. Gillespie
A profile likelihood based method of estimation and inference on the correlation coefficient of bivariate data with different types of censoring and missingness.

Climate analysis and downscaling package for monthly and daily data.
ts, netCDF, akima, chron, xtable, ctest, R (>= 1.4.1)
The package contains R functions for retrieving data, making climate analysis and downscaling of monthly mean and daily mean global climate scenarios.
GPL version 2 or newer. The use should be acknowledged in publication acknowledgement: .. "results were obtained using clim.pact by Benestad, supported by The Norwegian Meteorological Institute and the Norwegian Research Council's RegClim programme."

ts, netCDF, akima, chron, xtable, ctest, mva, R (>= 1.4.1)

ts, netCDF, date, akima, xtable, ctest, mva, R (>= 1.4.1)

ts, netCDF, akima, xtable, ctest, mva, R (>= 1.4.1)
GPL version 2 or newer. The use should be acknowledged in publication acknowledgement: .. "results were obtained using clim.pact by Benestad (The Norwegian Meteorological Institute and the Norwegian Research Council's RegClim programme)."

ts, netCDF, akima, xtable, ctest, mva, R (>= 1.8.1)

ts, ncdf, akima, ctest, mva, R (>= 1.8.1)