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.

Package details

AuthorOlivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre], Samer Mouksassi [aut], Kris Jamsen [ctb]
MaintainerJames Craig <jameswbcraig@gmail.com>
LicenseMIT + file LICENSE
Version1.1.0
URL https://github.com/certara/tidyvpc
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tidyvpc")

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tidyvpc documentation built on Jan. 13, 2021, 6:31 a.m.