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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.
Getting started
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Package details |
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| Author | Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre], Samer Mouksassi [aut], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Kris Jamsen [ctb], Certara USA, Inc. [cph, fnd] |
| Maintainer | James Craig <james.craig@certara.com> |
| License | MIT + file LICENSE |
| Version | 1.5.0 |
| URL | https://github.com/certara/tidyvpc |
| Package repository | View on CRAN |
| Installation |
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