plot.gprd: Plot Gaussian Process Regression for Regression Discontinuity

In duckmayr/gprd: Gaussian Process Regression for Regression Discontinuity Designs

Description

Plot Gaussian Process Regression for Regression Discontinuity

Usage

## S3 method for class 'gprd'
plot(
  x,
  from = "data_min",
  to = "data_max",
  n_points = NULL,
  ci_width = 0.95,
  data_color = "#1c1c1c1c",
  line_color = "black",
  ci_color = "#87878787",
  plot_cutoff = TRUE,
  main_title = "",
  xlab = "",
  ylab = "",
  ...
)

Arguments

x	A object of class gprd
from	The lowest x value to plot prediction for. The default, "data_min", uses the lowest forcing variable observed value. If both from and to are NULL, only values in the training data and at the cutoff are plotted. Otherwise a numeric vector of length one should be given.
to	The highest x value to plot prediction for. The default "data_max" uses the largest forcing variable observed value. If both from and to are NULL, only values in the training data and at the cutoff are plotted. Otherwise a numeric vector of length one should be given.
n_points	An integer vector of length one giving the number of prediction points to plot; if NULL and from and to are given, n_points = length(seq(from = from, to = to, by = 0.01))
ci_width	A numeric vector of length one between 0 and 1 giving the width of the confidence interval for tau
data_color	A color to plot the data points in
line_color	A color to plot the predictive mean line in
ci_color	A color to plot the CI polygon in
plot_cutoff	A logical vector of length one; if TRUE, a dashed vertical line (lty = 2) marks the cutoff; default is TRUE
main_title	A character vector of length one giving a main title for the plot
xlab	A character vector of length one giving a title for the x axis
ylab	A character vector of length one giving a title for the y axis
...	Other arguments passed to plot

Value

Returns NULL invisibly

See Also

gprd

duckmayr/gprd documentation built on Dec. 27, 2020, 7:33 a.m.