plot.ivqr: Visualizing the quantile process of the endogenous variable

In yuchang0321/IVQR: IVQR: Instrumental Variable Quantile Regression

Description

Visualizing the quantile process of the endogenous variable

Usage

## S3 method for class 'ivqr'
plot(object, variable = 1, size = 0.05, trim = c(0.05,
  0.95), ...)

Arguments

object	An ivqr object returned from the function ivqr()
variable	A number indicates which endogenous variable to test. Since at most two endongenous variables can be included in the function ivqr, this argument should be either 1 or 2.
size	A number indicating the desired size of the point-wise confident inverval.
trim	A vector which representss an inverval. Extreme quantile(s) outside the interval will not be shown in the plot.

Examples

data(ivqr_eg)
fit <- ivqr(y ~ d | z | x, seq(0.1,0.9,0.1), grid = seq(-2,2,0.2), data = ivqr_eg) # a process
plot(fit)

yuchang0321/IVQR documentation built on May 29, 2019, 12:19 p.m.