pqplot: Plot Predicted vs. Observed Quantiles

In danheck/gpt: Generalized Processing Tree Models

Plot Predicted vs. Observed Quantiles

Description

Plot predicted vs. observed quantiles of continuous variable against predicted and observed (cumulative) category probabilities

Usage

pqplot(
  gpt_fit,
  cumsum = FALSE,
  quantiles = seq(0.1, 0.9, 0.2),
  ncol = 4,
  dim = 1,
  group
)

Arguments

gpt_fit	a fitted GPT model (see gpt_fit)
cumsum	whether to use cumulative sums of probabilities on the x axis (especially usefull for trees with more than 2 categories).
quantiles	used for continuous variable
ncol	maximum number of plots per row
dim	only for multivariate continuous data: dimension for prediction
group	select group by an index, e.g., group=1 (if mutliple groups were fitted)

danheck/gpt documentation built on Feb. 12, 2024, 6:21 a.m.