person("Thomas", "Dumortier", email=" thomas.dumortier@novartis.com", role="aut"),
person("Matthew","Fidler", role = "ctb", email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")),

person("Matthew","Fidler", role = c("ctb", "cre"), email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")),
stringr, assertthat, GGally, zoo, knitr, rmarkdown
Matthew Fidler [ctb, cre] (<https://orcid.org/0000-0001-8538-6691>),

person("Seid", "Hamzic", email = "se.hamzic@gmail.com",role ="aut"),
person("Benjamin", "Guiastrennec", email = "guiastrennec@gmail.com",role ="ctb"),
person("Kyle T", "Baron", email = "kyleb@metrumrg.com",role ="ctb", comment = c(ORCID = "0000-0001-7252-5656")),
person("Qing Xi", "Ooi", email="ooi.qingxi@gmail.com", role="ctb"),
stringr, assertthat, GGally, zoo, knitr, rmarkdown, tidyr,
dplyr, purrr, readr, rlang, tibble, checkmate
Suggests: testthat, xtable, vdiffr, nlmixr

person("Matthew","Fidler", role = c("aut", "cre"), email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")),
Matthew Fidler [aut, cre] (<https://orcid.org/0000-0001-8538-6691>),

dplyr, purrr, readr, rlang, tibble, checkmate, scales

for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP

<doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors'
package in the 'Monolix' installation, as described at the following url
When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
Chart Data instead of exporting it from the 'Monolix' gui.
Suggests: testthat, xtable, vdiffr, rxode2, nlmixr, nlmixr2,

Title: Quality Control Charts for the Grammar of Graphics Plotting
Description: Plot single and faceted type quality control charts
within the grammar of graphics plotting framework.
Suggests: testthat, gridExtra, knitr, rmarkdown

Title: Quality Control Charts for 'ggplot'
Suggests: testthat, gridExtra, knitr, rmarkdown, reshape2, plyr

Title: Compare Big Datasets to the Uniform Distribution
Description: A quantile-quantile plot can be used to compare a sample of p-values
to the uniform distribution.  But when the dataset is big (i.e. > 1e4 p-values),
plotting the quantile-quantile plot can be slow.  geom_QQ uses all the data to
calculate the quantiles, but thins it out in a way that focuses on points near zero
before plotting to speed up plotting and decrease file size, when vector graphics are stored.