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 Craig |
| 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 |
| Reference manual: | tidyvpc.html ,tidyvpc.pdf |
| Vignettes: | Introduction to categorical VPC (source) Introduction to continuous VPC (source) tidyvpc with nlmixr2 (source) |
| 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 imports: | Certara.VPCResults |
| Reverse suggests: | NMsim,vachette |
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