DESCRIPTION

Package: tdmore
Type: Package
Title: In silico evaluation of precision dosing
Version: 1.2.0.900
Authors@R: c(
  person("Ruben", "Faelens", role = c("aut", "cre"), email = "ruben.faelens@kuleuven.be", comment=c(ORCID="0000-0002-7234-2443")),
  person("Nicolas", "Luyckx", role=c("aut", "csl")),
  person("Quentin", "Leirens", role=c("aut", "csl")),
  person("Thomas", "Bouillon", role="dgs"),
  person("Pieter", "Annaert", role="dgs"),
  person("Daniel", "Roshammar", role="dgs"),
  person("KULeuven", role="cph"),
  person("FWO TBM Grant", role="fnd")
  )
Description: tdmore is a research tool to investigate precision dosing.
  It provides an easy interface to perform bayesian fit of
  a virtual population, using a user-provided population model,
  and allows to explore new dosing regimen for this population. One of these
  dosing regimen can be implemented as precision dosing, allowing you to compare 
  performance versus classical techniques.
Depends: R (>= 3.5.0)
Imports: dplyr, stats, RxODE (>= 0.9.0), ggplot2 (>= 3.0.0), magrittr,
  zoo, rlang, purrr, Matrix, mvtnorm, data.table, optimr, optextras, tibble, R6, roxygen2
License: AGPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
Suggests: progress, callr, knitr, rmarkdown, testthat, devtools, vdiffr, svglite, rprojroot,
 pkgdown, bookdown, miniUI, shiny, readr, stringr, tidyr (>= 1.0.0), shinytest, withr,
 benchmarkme, microbenchmark, plotly, MCMCpack, mnormt, gridExtra, mvnfast
RoxygenNote: 7.1.2
VignetteBuilder: knitr
URL: https://github.com/tdmore-dev/tdmore, https://tdmore-dev.github.io/tdmore/
BugReports: https://github.com/tdmore-dev/tdmore/issues
Config/testthat/edition: 3