Package: tidyvpc 1.6.0

James Craig

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.

Authors:Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre], Samer Mouksassi [aut], Bill Denney [ctb], Michael Tomashevskiy [ctb], Kris Jamsen [ctb], Certara USA, Inc. [cph, fnd]

tidyvpc_1.6.0.tar.gz
tidyvpc_1.6.0.zip(r-4.7)tidyvpc_1.6.0.zip(r-4.6)tidyvpc_1.6.0.zip(r-4.5)
tidyvpc_1.6.0.tgz(r-4.6-any)tidyvpc_1.6.0.tgz(r-4.5-any)
tidyvpc_1.6.0.tar.gz(r-4.7-any)tidyvpc_1.6.0.tar.gz(r-4.6-any)
tidyvpc_1.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tidyvpc/json (API)
NEWS

# Install 'tidyvpc' in R:
install.packages('tidyvpc', repos = c('https://certara.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/certara/tidyvpc/issues

Datasets:
  • obs_cat_data - Example observed data with categorical DV
  • obs_data - Example observed data with continuous DV
  • sim_cat_data - Example simulated data with categorical DV
  • sim_data - Example simulated data with continuous DV

On CRAN:

Conda:

8.10 score 11 stars 1 packages 54 scripts 420 downloads 19 exports 43 dependencies

Last updated from:cbee5f8dc2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK245
source / vignettesOK254
linux-release-x86_64OK215
macos-release-arm64OK138
macos-oldrel-arm64OK156
windows-develOK158
windows-releaseOK153
windows-oldrelOK150
wasm-releaseOK167

Exports:bin_by_classIntbin_by_eqcutbin_by_ntilebin_by_pambininfobinlessbinningcensoringcheck_ordercut_atnearestnopredcorrectnpdeobservedpredcorrectqpcstatssimulatedstratifyvpcstats

Dependencies:classclassIntcliclustercpp11data.tablee1071eggfarverfastDummiesggplot2gluegridExtragtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvnlmepillarpkgconfigproxyquantregR6RColorBrewerrlangS7scalesSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr

Introduction to categorical VPC

Rendered fromtidyvpc_cat.pdf.asisusingR.rsp::asison Jun 02 2026.

Last update: 2024-11-21
Started: 2024-11-21

Introduction to continuous VPC

Rendered fromtidyvpc_cont.pdf.asisusingR.rsp::asison Jun 02 2026.

Last update: 2024-11-21
Started: 2024-11-21

Quantitative Predictive Check (QPC) scoring for VPC

Rendered fromtidyvpc_qpc.pdf.asisusingR.rsp::asison Jun 02 2026.

Last update: 2026-01-11
Started: 2026-01-11

tidyvpc with nlmixr2

Rendered fromtidyvpc_nlmixr2.pdf.asisusingR.rsp::asison Jun 02 2026.

Last update: 2024-11-21
Started: 2024-11-21

tidyvpc with RsNLME

Rendered fromtidyvpc_RsNLME.pdf.asisusingR.rsp::asison Jun 02 2026.

Last update: 2026-06-02
Started: 2026-06-02