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 obtained from calling quantreg.
prbL	Lower quantile (preferably < .5).
prbU	Upper quantile (preferably > .5).
m.target	Character value for multivariate families specifying the target outcome to be used. If left unspecified, the algorithm will choose a default target.
crps	Calculate crps and inset it?
subset	Restricts plotted values to a subset of the data. Default is to use the entire data.
xlab	Horizontal axis label.
ylab	Vertical axis label.
...	Further arguments passed to or from other methods.

Author(s)

Hemant Ishwaran and Udaya B. Kogalur

See Also

quantreg.rfsrc

randomForestSRC documentation built on April 3, 2025, 11:05 p.m.