rtMod-methods: 'rtMod' S3 methods

In egenn/rtemis: Machine Learning and Visualization

rtMod S3 methods

Description

S3 methods for rtMod class. Excludes functions print and plot defined within the rtMod class itself.

Get coefficients or relative variable importance for rtMod object

Usage

## S3 method for class 'rtMod'
print(x, ...)

## S3 method for class 'rtMod'
fitted(object, ...)

## S3 method for class 'rtMod'
predict(object, newdata, trace = 0, verbose = TRUE, ...)

## S3 method for class 'rtMod'
residuals(object, ...)

## S3 method for class 'rtMod'
plot(x, estimate = NULL, theme = rtTheme, filename = NULL, ...)

## S3 method for class 'rtMod'
summary(
  object,
  plots = TRUE,
  cex = 1,
  fit.true.line = "lm",
  resid.fit.line = "gam",
  fit.legend = TRUE,
  se.fit = TRUE,
  single.fig = TRUE,
  summary = TRUE,
  theme = rtTheme,
  title.col = NULL,
  ...
)

## S3 method for class 'rtMod'
coef(object, verbose = TRUE, ...)

## S3 method for class 'rtModLite'
predict(object, newdata, ...)

Arguments

x	rtMod object
...	Additional argument passed to predict(object)
object	rtModLite object
newdata	Testing set features
trace	Integer: Set trace level
verbose	Logical: If TRUE, output messages to console
estimate	Character: "fitted" or "predicted"
theme	Character: theme to use. Options: "box", "darkbox", "light", "dark"
filename	Character: Path to file to save plot
plots	Logical: If TRUE, print plots. Default = TRUE
cex	Float: Character expansion factor
fit.true.line	rtemis algorithm to use for fitted vs. true line Options: select_learn()
resid.fit.line	rtemis algorithm to use for residuals vs. fitted line. Options: select_learn()
fit.legend	Logical: If TRUE, print fit legend. Default = TRUE
se.fit	Logical: If TRUE, plot 2 * standard error bands. Default = TRUE
single.fig	Logical: If TRUE, draw all plots in a single figure. Default = TRUE
summary	Logical: If TRUE, print summary. Default = TRUE
title.col	Color for main title

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on April 24, 2024, 6:58 p.m.