plot: Plot method for hd2part fitted objects

In jaredhuling/personalized2part: Two-Part Estimation of Treatment Rules for Semi-Continuous Data

Description

Plot method for hd2part fitted objects

Usage

## S3 method for class 'hd2part'
plot(
  x,
  model = c("zero", "positive"),
  xvar = c("loglambda", "norm", "lambda"),
  labsize = 0.6,
  xlab = iname,
  ylab = NULL,
  main = paste(model, "model"),
  ...
)

## S3 method for class 'cv.hd2part'
plot(x, sign.lambda = 1, ...)

Arguments

x	fitted "hd2part" model object
model	either "zero" for the zero part model or "positive" for the positive part model
xvar	What is on the X-axis. "norm" plots against the L1-norm of the coefficients, "lambda" against the log-lambda sequence, and "dev" against the percent deviance explained.
labsize	size of labels for variable names. If labsize = 0, then no variable names will be plotted
xlab	label for x-axis
ylab	label for y-axis
main	main title for plot
...	other graphical parameters for the plot
sign.lambda	Either plot against log(lambda) (default) or its negative if sign.lambda = -1.

Examples

set.seed(123)

set.seed(123)

jaredhuling/personalized2part documentation built on Sept. 16, 2020, 1:41 p.m.