Crandore Hub

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.

Versions across snapshots

VersionRepositoryFileSize
1.5.2 rolling linux/jammy R-4.5 tidyvpc_1.5.2.tar.gz 2.7 MiB
1.5.2 rolling linux/noble R-4.5 tidyvpc_1.5.2.tar.gz 2.7 MiB
1.5.2 rolling source/ R- tidyvpc_1.5.2.tar.gz 4.0 MiB
1.5.2 latest linux/jammy R-4.5 tidyvpc_1.5.2.tar.gz 2.7 MiB
1.5.2 latest linux/noble R-4.5 tidyvpc_1.5.2.tar.gz 2.7 MiB
1.5.2 latest source/ R- tidyvpc_1.5.2.tar.gz 4.0 MiB
1.5.2 2026-04-26 source/ R- tidyvpc_1.5.2.tar.gz 4.0 MiB
1.5.2 2026-04-23 source/ R- tidyvpc_1.5.2.tar.gz 4.0 MiB
1.5.2 2026-04-09 windows/windows R-4.5 tidyvpc_1.5.2.zip 2.7 MiB
1.5.2 2025-04-20 source/ R- tidyvpc_1.5.2.tar.gz 4.0 MiB

Dependencies (latest)

Imports

Suggests