plot.cnormBetaBinomial2: Plot cnormBetaBinomial2 Model with Data and Percentile Lines

In cNORM: Continuous Norming

Plot cnormBetaBinomial2 Model with Data and Percentile Lines

Description

This function creates a visualization of a fitted cnormBetaBinomial2 model, including the original data points, manifest percentiles and specified percentile lines. See plot.cnormBetaBinomial.

Usage

## S3 method for class 'cnormBetaBinomial2'
plot(x, ...)

Arguments

x

A fitted model object of class "cnormBetaBinomial" or "cnormBetaBinomial2".

...

Additional arguments passed to the plot method. age A vector of the age data. score A vector of the score data. weights An optional numeric vector of weights for each observation. percentiles An optional vector with the percentiles to plot. points Logical indicating whether to plot the data points. Default is TRUE. discrete Logical indicating whether to plot the exact discrete beta-binomial quantiles (TRUE, default) or a smooth continuous approximation via the underlying beta distribution (FALSE).

Value

A ggplot object.

See Also

Other plot: compare(), plot.cnorm(), plot.cnormBetaBinomial(), plotDensity(), plotDerivative(), plotNorm(), plotNormCurves(), plotPercentileSeries(), plotPercentiles(), plotRaw(), plotSubset()

cNORM documentation built on July 20, 2026, 5:07 p.m.