summary.gp.list: Gaussian Process List Summary Information

In mlegp: Maximum Likelihood Estimates of Gaussian Processes

Gaussian Process List Summary Information

Description

prints a summary of a Gaussian process list object, or (a subset) of its components

Usage

## S3 method for class 'gp.list'
summary(object, nums = NULL, ...)

Arguments

object	an object of type gp.list
nums	optionally, a vector of integers corresponding to Gaussian processes in the list to summarize
...	for compatibility with generic method summary

Details

if nums is NULL, prints out a summary of the Gaussian process list

if nums is not NULL, displays a summary of the Gaussian processes specified by nums by calling summary.gp for each Gaussian process

Author(s)

Garrett M. Dancik [e-mail]

References

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

See Also

summary.gp

Examples

x = -5:5 
y1 = sin(x) + rnorm(length(x),sd=.1)
y2 = sin(x) + 2*x + rnorm(length(x), sd = .1)
fitMulti = mlegp(x, cbind(y1,y2))
summary(fitMulti)  ## summary of the Gaussian process list
summary(fitMulti, nums = 1:2) ## summary of Gaussian processes 1 and 2

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