Perform a Visual Predictive Check (VPC), while accounting for stratification, censoring, and prediction correction. Using piping from 'magrittr', the intuitive syntax gives users a flexible and powerful method to generate VPCs using both traditional binning and a new binless approach Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.
Version: | 1.5.1 |
Depends: | R (≥ 3.5.0) |
Imports: | data.table (≥ 1.9.8), magrittr, quantreg (≥ 5.51), rlang (≥ 0.3.0), methods, mgcv, classInt, cluster, ggplot2, stats, fastDummies, utils, egg |
Suggests: | dplyr, KernSmooth, knitr, nlmixr2, shiny, remotes, vpc, rmarkdown, testthat (≥ 2.1.0), vdiffr (≥ 1.0.0) |
Published: | 2024-01-18 |
DOI: | 10.32614/CRAN.package.tidyvpc |
Author: | Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre], Samer Mouksassi [aut], Bill Denney [ctb], Kris Jamsen [ctb], Certara USA, Inc. [cph, fnd] |
Maintainer: | James Craig <james.craig at certara.com> |
BugReports: | https://github.com/certara/tidyvpc/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/certara/tidyvpc |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Pharmacokinetics |
CRAN checks: | tidyvpc results |
Reference manual: | tidyvpc.pdf |
Vignettes: |
Introduction to categorical VPC Introduction to continuous VPC tidyvpc with nlmixr2 |
Package source: | tidyvpc_1.5.1.tar.gz |
Windows binaries: | r-devel: tidyvpc_1.5.1.zip, r-release: tidyvpc_1.5.1.zip, r-oldrel: tidyvpc_1.5.1.zip |
macOS binaries: | r-release (arm64): tidyvpc_1.5.1.tgz, r-oldrel (arm64): tidyvpc_1.5.1.tgz, r-release (x86_64): tidyvpc_1.5.1.tgz, r-oldrel (x86_64): tidyvpc_1.5.1.tgz |
Old sources: | tidyvpc archive |
Reverse imports: | Certara.VPCResults |
Reverse suggests: | NMsim, vachette |
Please use the canonical form https://CRAN.R-project.org/package=tidyvpc to link to this page.