tidyvpc (1.0.0)

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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) with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.

Maintainer: James Craig
Author(s): Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre], Samer Mouksassi [aut], Kris Jamsen [ctb]

License: MIT + file LICENSE

Uses: data.table, magrittr, quantreg, rlang, KernSmooth, classInt, cluster, ggplot2, knitr, shiny, rmarkdown, remotes, vpc

Released 11 days ago.



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