docs/customization-overview.md

In ronkeizer/vpc: Create Visual Predictive Checks

Customization

Below is a list of optional functionality available in the vpc package. Please see the Customization sections for more information.

• stratification (single & multiple)
• prediction-correction
• binning methods (K-means clustering, by time, by number of data points, by density, etc).
• automatated number of bins (using Sturges' rule) or manual input of number of bins
• plot without simulated data (sim=NULL), or without observed data(obs=NULL).
• general-purpose function (sim_data) to simulate data from a mixed-effects structural model, a fixed parameter vector and between-subject variability covariance matrix.

ronkeizer/vpc documentation built on May 11, 2023, 11:09 p.m.