plot.gaussianProcess: Plot the predictive distribution of new data. Only works with...

In ebenmichael/gaussianProcess: Fits Gaussian Processes for Regression

Description

Plot the predictive distribution of new data. Only works with 1 dimension

Usage

## S3 method for class 'gaussianProcess'
plot(gp, x.min, x.max, by = 0.1,
  plot.points = TRUE, plot.mean = TRUE, plot.int = TRUE,
  plot.samples = FALSE, plot.predictive = FALSE, int.size = 1.96,
  n.samples = 10)

Arguments

gp	gaussianProcess object
x.min	Lowest x value to plot
x.max	Highest x value to plot
by	Spacing for x values, defaults to 0.1
plot.points	Whether to plot the data as well, defaults to False
plot.mean	Whether to plot the mean of the process
plot.int	Whether to plot an interval around the mean
plot.samples	Whether to plot samples
plot.predictive	Whether to plot the posterior predictive
int.size	Posterior intervals are mean +- int.size * var, defaults to 1.96
n.samples	Number of samples to plot

ebenmichael/gaussianProcess documentation built on May 15, 2019, 7:30 p.m.