tidyvpc: VPC Percentiles and Prediction Intervals

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
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

Documentation:

Reference manual:	tidyvpc.pdf
Vignettes:	Introduction to categorical VPC Introduction to continuous VPC tidyvpc with nlmixr2

Downloads:

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 dependencies:

Reverse suggests:

NMsim

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidyvpc to link to this page.