R (>= 2.15), gsw, methods, testthat, utils
akima, automap, DBI, foreign, knitr, lubridate, ncdf4,
ocedata, raster (>= 1.4.3), rgeos, rgdal, rmarkdown, RSQLite,
R.utils, sf, sp, tiff, XML

R (>= 2.15), gsw, methods, sf (>= 0.9.0), testthat, utils
akima, automap, DBI, foreign, knitr, lubridate, ncdf4,
ocedata, raster (>= 1.4.3), rgeos, rmarkdown, RSQLite, R.utils,
sp, tiff, XML

akima, automap, DBI, foreign, knitr, lubridate, marmap,
ncdf4, ocedata, raster (>= 1.4.3), rgeos, rmarkdown, RSQLite,
R.utils, sp, tiff, XML

akima, automap, DBI, foreign, knitr, lubridate, marmap,
ncdf4, ocedata, raster (>= 1.4.3), rgeos, rmarkdown, RSQLite,
R.utils, sf, sp, testthat (>= 3.0.0), tiff, XML
Supports the analysis of Oceanographic data, including 'ADCP'
measurements, measurements made with 'argo' floats, 'CTD' measurements,
sectional data, sea-level time series, coastline and topographic data, etc.
Provides specialized functions for calculating seawater properties such as
potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state.
Produces graphical displays that conform to the conventions of the
Oceanographic literature. This package is discussed extensively by
Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.

automap, DBI, foreign, interp, knitr, lubridate, marmap,
ncdf4, ocedata, raster (>= 1.4.3), rgeos, rmarkdown, RSQLite,
R.utils, sf, sp, testthat (>= 3.0.0), tiff, XML

Ordered Composite Endpoints with Censoring
c(person("Michael P.", "Fay", role = c("aut", "cre"),
email = "mfay@niaid.nih.gov"),
person("Dean", "Follmann", role = "aut") )
Estimates win ratio or Mann-Whitney parameter for two group
comparisons using ordered composite endpoints with right censoring
as described in Follmann, Fay, Hamasaki, and Evans (2020)<doi:10.1002/sim.7890>.
Michael P. Fay [aut, cre],
Dean Follmann [aut]

c(person("Benjamin", "Jones", role = c("aut", "cre"),
email = "btjones16@gmail.com"))
This package contains a set of functions for manipulating and
visualizing output from numerical ocean models. Many of the routines are
targeted towards Lagrangian particle-tracking models with the data stored
in NetCDF files. This package may be useful to spatial marine ecologists
and biological or physical oceanographers.
'att_plot.R' 'bathy_colors.R' 'calculate_element_size.R'
'filter2d.R' 'find_element.R' 'is_in_grid.R' 'jet_colors.R'
'lagrangian_pdd.R' 'spaghetti.R'