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] (<https://orcid.org/0000-0003-1757-9234>), Samer Mouksassi [aut], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Kris Jamsen [ctb], Certara USA, Inc. [cph, fnd]
MaintainerJames Craig <james.craig@certara.com>
LicenseMIT + file LICENSE
URL https://github.com/certara/tidyvpc
Package repositoryView on CRAN
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tidyvpc documentation built on May 29, 2024, 8:29 a.m.