VPC Percentiles and Prediction Intervals R package tidyvpc version 1.6.0 CRAN Task View: Pharmacokinetics (https://CRAN.R-project.org/view=Pharmacokinetics) 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. Software 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: Certara.RsNLME, dplyr, KernSmooth, knitr, R.rsp, nlmixr2, shiny, remotes, vpc, rmarkdown, testthat (>= 2.1.0), vdiffr (>= 1.0.0) James Craig <james.craig@certara.com> Comprehensive R Archive Network (CRAN) Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre] (ORCID: <https://orcid.org/0000-0003-1757-9234>), Samer Mouksassi [aut], Bill Denney [ctb] (ORCID: <https://orcid.org/0000-0002-5759-428X>), Michael Tomashevskiy [ctb], Kris Jamsen [ctb], Certara USA, Inc. [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=tidyvpc/LICENSE) 2026-06-01 application/tgz https://CRAN.R-project.org/package=tidyvpc doi:10.32614/CRAN.package.tidyvpc