gp: Bayesian Gaussian Processes [R]

In egenn/rtemis: Machine Learning and Visualization

Bayesian Gaussian Processes [R]

Description

Fit a gaussian process

Usage

gp(
  x,
  y,
  new.x = NULL,
  x.name = "x",
  y.name = "y",
  print.plot = TRUE,
  lwd = 3,
  cex = 1.2,
  par.reset = TRUE,
  ...
)

Arguments

x	Numeric vector or matrix of features, i.e. independent variables
y	Numeric vector of outcome, i.e. dependent variable
new.x	(Optional) Numeric vector or matrix of new set of features Must have same set of columns as x
x.name	Character: Name for feature set
y.name	Character: Name for outcome
print.plot	Logical: if TRUE, draw plot when done
lwd	Line width for plotting
cex	Character expansion factor for plotting
par.reset	Logical. Reset par to its original state
...	Additional arguments to be passed to tgp::bgp

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.