print.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'
print(x, nums = NULL, ...)

Arguments

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

Details

if nums is NULL, prints summary information for the Gaussian process list object x, using summary.gp.list

if nums is not NULL, prints summary information for each Gaussian process specified by nums, using summary.gp

Author(s)

Garrett M. Dancik [e-mail]

References

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

See Also

summary.gp.list, 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))
print(fitMulti)  ## summary of the Gaussian process list
print(fitMulti, nums = 1:2) ## summary of Gaussian processes 1 and 2

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