plot.quantreg.rfsrc: Plot Quantiles from Quantile Regression Forests

In randomForestSRC: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)

Plot Quantiles from Quantile Regression Forests

Description

Plots quantiles obtained from a quantile regression forest. Additionally insets the continuous rank probability score (crps), a useful diagnostic of accuracy.

Usage

## S3 method for class 'rfsrc'
plot.quantreg(x, prbL = .25, prbU = .75,
   m.target = NULL, crps = TRUE, subset = NULL, xlab = NULL, ylab = NULL, ...)

Arguments

x	A quantile regression object returned by a call to quantreg.
prbL	Lower quantile level, typically less than 0.5.
prbU	Upper quantile level, typically greater than 0.5.
m.target	Character string specifying the target outcome for multivariate families. If not provided, a default target is selected automatically.
crps	Logical. If TRUE, calculates the continuous ranked probability score (CRPS) and adds it to the plot.
subset	Optional vector specifying a subset of the data to be plotted. Defaults to plotting all data points.
xlab	Label for the x-axis.
ylab	Label for the y-axis.
...	Additional arguments passed to or from other methods.

Author(s)

Hemant Ishwaran and Udaya B. Kogalur

See Also

quantreg.rfsrc

randomForestSRC documentation built on June 8, 2025, 1:12 p.m.