Title: Plot Data on Oceanographic Maps using 'ggplot2'
Authors@R: c(person("Mikko", "Vihtakari", email = "mikko.vihtakari@hi.no",
comment = c(affiliation = "Institute of Marine Research",
person("Simon", "O'Hanlon", role = "ctb"),
Description: Allows plotting data on bathymetric maps using 'ggplot2'. Plotting
oceanographic spatial data is made as simple as feasible, but also flexible
for custom modifications. Data that contain geographic information from
anywhere around the globe can be plotted on maps generated by the basemap()
function using 'ggplot2' layers separated by the '+' operator. The package
uses spatial shapefiles stored in the 'ggOceanMapsData' package, geospatial
packages for R to manipulate, and the 'ggspatial' package to help to plot
Depends: R (>= 3.5.0), ggplot2, ggspatial
Imports: sp, raster, rgdal, rgeos, methods, utils, sf, stars, smoothr,
Suggests: ggOceanMapsData, cowplot, knitr, rmarkdown, scales
Author: Mikko Vihtakari [aut, cre] (Institute of Marine Research,

or qmap() functions using 'ggplot2' layers separated by the '+' operator. The
package uses spatial shapefiles stored in the 'ggOceanMapsData' package,
geospatial packages for R to manipulate, and the 'ggspatial' package to help
to plot these shapefiles. High-resolution shapefiles for detailed maps are
stored on GitHub and downloaded automatically when needed.
Imports: sp, raster, sf, rgeos, methods, utils, stars, smoothr, units,
Suggests: ggOceanMapsData, cowplot, knitr, rmarkdown, scales, rgdal,
Yves Reecht [ctb] (Institute of Marine Research,

Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling
activities in order to reduce the overall effort required for generating such plots.
For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox,
called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient
for publication and submissions using few lines of code.
person("Qing Xi", "Ooi", email="ooi.qingxi@gmail.com", role="ctr"),
person("Novartis Pharma AG", role = c("cph"))
Imports: data.table, yaml, R6, gtable, ggplot2 (>= 2.2.0), magrittr,
stringr, assertthat, checkmate, GGally, zoo, knitr, rmarkdown