is.gp: Gaussian Process and Gaussian Process Lists

In mlegp: Maximum Likelihood Estimates of Gaussian Processes

Gaussian Process and Gaussian Process Lists

Description

Test for a Gaussian process object or a Gaussian process list object

Usage

is.gp(x)
is.gp.list(x)

Arguments

x	object to be tested

Value

is.gp returns TRUE or FALSE, depending on whether its argument inherits the gp class or not

is.gp.list returns TRUE or FALSE, depending on whether its argument inherits the gp.list class or not

Author(s)

Garrett M. Dancik [e-mail]

References

https://github.com/gdancik/mlegp/

Examples

## fit a single Gaussian process ##
x = -5:5; y1 = sin(x) + rnorm(length(x),sd=.1)
fit1 = mlegp(x, y1)

is.gp(fit1)       ## returns TRUE
is.gp.list(fit1)  ## returns FALSE

mlegp documentation built on March 18, 2022, 5:29 p.m.