Supports a structured approach for exploring PKPD data <https://opensource.nibr.com/xgx/>. It also contains helper functions for enabling the modeler to follow best R practices (by appending the program name, figure name location, and draft status to each plot). In addition, it enables the modeler to follow best graphical practices (by providing a theme that reduces chart ink, and by providing time-scale, log-scale, and reverse-log-transform-scale functions for more readable axes). Finally, it provides some data checking and summarizing functions for rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.
Version: 1.1.2 Depends: R (≥ 3.5.0) Imports: assertthat, binom, Deriv, DescTools, dplyr, ggplot2, glue, graphics, grDevices, gtable, Hmisc, labeling, magrittr, minpack.lm, pander, png, RCurl, readr, scales, stats, stringr, tibble, utils Suggests: caTools, gridExtra, knitr, pkgdown, rmarkdown, testthat, tidyr Published: 2023-03-22 DOI: 10.32614/CRAN.package.xgxr Author: Andrew Stein [aut, cre], Alison Margolskee [aut], Fariba Khanshan [aut], Konstantin Krismer [aut], Matthew Fidler [ctb], Novartis Pharma AG [cph, fnd] Maintainer: Andrew Stein <andy.stein at gmail.com> BugReports: https://github.com/Novartis/xgxr/issues License: MIT + file LICENSE URL: https://opensource.nibr.com/xgx/ NeedsCompilation: no Materials: README NEWS In views: Pharmacokinetics CRAN checks: xgxr results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=xgxr to link to this page.
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