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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:1.5.2
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,R.rsp,nlmixr2,shiny,remotes,vpc,rmarkdown,testthat (≥ 2.1.0),vdiffr (≥ 1.0.0)
Published:2024-11-21
DOI:10.32614/CRAN.package.tidyvpc
Author:Olivier Barriere [aut], Benjamin Rich [aut], James CraigORCID iD [aut, cre], Samer Mouksassi [aut], Bill DenneyORCID iD [ctb], Michael Tomashevskiy [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 + fileLICENSE
URL:https://github.com/certara/tidyvpc
NeedsCompilation:no
Materials:README,NEWS
In views:Pharmacokinetics
CRAN checks:tidyvpc results

Documentation:

Reference manual:tidyvpc.html ,tidyvpc.pdf
Vignettes:Introduction to categorical VPC (source)
Introduction to continuous VPC (source)
tidyvpc with nlmixr2 (source)

Downloads:

Package source: tidyvpc_1.5.2.tar.gz
Windows binaries: r-devel:tidyvpc_1.5.2.zip, r-release:tidyvpc_1.5.2.zip, r-oldrel:tidyvpc_1.5.2.zip
macOS binaries: r-release (arm64):tidyvpc_1.5.2.tgz, r-oldrel (arm64):tidyvpc_1.5.2.tgz, r-release (x86_64):tidyvpc_1.5.2.tgz, r-oldrel (x86_64):tidyvpc_1.5.2.tgz
Old sources: tidyvpc archive

Reverse dependencies:

Reverse imports:Certara.VPCResults
Reverse suggests:NMsim,vachette

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tidyvpcto link to this page.


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