Title: Basic Calculations for PK/PD Modeling
Authors@R: person("Philip", "Delff", email = "philip@delff.dk",
Description: Essentials for PK/PD (pharmacokinetics/pharmacodynamics) such as area under the curve, (geometric) coefficient of variation, and other calculations that are not part of base R. This is not a noncompartmental analysis (NCA) package.

Title: Preparation, Checking and Post-Processing Data for PK/PD
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Helps with trivial but tedious tasks and tries to identify errors to save time on debugging. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Suggests: testthat, knitr, rmarkdown, ggplot2, tibble, covr, htmltools
Packaged: 2022-01-06 04:11:29 UTC; Philip Delff

Suggests: testthat, knitr, formatR, mime, rmarkdown, ggplot2, tibble,

Suggests: testthat, knitr, rmarkdown, ggplot2, tibble, covr

Title: Script Based 'NONMEM' Model Development
person("Tarj", "Sahota", email = "t.sahota0@gmail.com",
person("Nuria", "Buil Bruna", email = "nuria.buil.bruna@gmail.com",
person("Stein", "Schalkwijk", email = "steinschalkwijk@gmail.com",
<https://www.iconplc.com/innovation/nonmem/> via fully and rapidly reusable
model development 'workflows' entirely within 'RStudio'. Quickly get started
with new models by importing 'NONMEM' templates from the built-in code
library. Manipulate 'NONMEM' code from within R either via the tracked
'manual edit' interface or 'programmatically' via convenience functions.
Script 'workflows' by piping sequences of model building steps from control
file creation, to execution, to post-processing and evaluation. Run caching
makes 'workflows' R markdown friendly for easy documentation of thoughts and
modelling decisions alongside executable code. Share, reuse and recycle
Imports: shiny, reshape2, dygraphs, DT, git2r (>= 0.18.0), dplyr (>=
crayon (>= 1.3.4), rprojroot, htmltools, rmarkdown, magrittr,
Suggests: testthat, knitr, ggplot2, future, data.tree, xpose,
lubridate, pmxTools, Hmisc, rsample, renv, desc, purrr, digest,
'utils.R' 'basic_methods.R' 'boot.R' 'nm_object.R' 'cache.R'
'nm_render.R' 'nm_tran.R' 'nm_tree.R' 'nmsave.R' 'ofv.R'