CRAN/E | tidyvpc

tidyvpc

VPC Percentiles and Prediction Intervals

Installation

About

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.

github.com/certara/tidyvpc
Bug report File report

Key Metrics

Version 1.5.0
R ≥ 3.5.0
Published 2023-10-30 179 days ago
Needs compilation? no
License MIT
License File
CRAN checks tidyvpc results

Downloads

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Maintainer

Maintainer

James Craig

james.craig@certara.com

Authors

Olivier Barriere

aut

Benjamin Rich

aut

James Craig

aut / cre

Samer Mouksassi

aut

Bill Denney

ctb

Kris Jamsen

ctb

Certara USA
Inc.

cph / fnd

Material

README
NEWS
Reference manual
Package source

In Views

Pharmacokinetics

Vignettes

Introduction to categorical VPC
Introduction to continuous VPC
tidyvpc with nlmixr2

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tidyvpc archive

Depends

R ≥ 3.5.0

Imports

data.table ≥ 1.9.8
magrittr
quantreg ≥ 5.51
rlang ≥0.3.0
methods
mgcv
classInt
ggplot2
stats
fastDummies
utils
egg

Suggests

cluster
dplyr
KernSmooth
knitr
nlmixr2
shiny
remotes
vpc
rmarkdown
testthat ≥ 2.1.0
vdiffr ≥ 1.0.0