show.fgasp: Show an 'fgasp' object.

In FastGaSP: Fast and Exact Computation of Gaussian Stochastic Process

Description

Function to print the codefgasp object.

Usage

## S4 method for signature 'fgasp'
show(object)

Arguments

object

an object of class fgasp.

Author(s)

Mengyang Gu [aut, cre]

Maintainer: Mengyang Gu <[e-mail]>

References

Hartikainen, J. and Sarkka, S. (2010). Kalman filtering and smoothing solutions to temporal gaussian process regression models, Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop, 379-384.

M. Gu, Y. Xu (2017), Nonseparable Gaussian stochastic process: a unified view and computational strategy, arXiv:1711.11501.

M. Gu, X. Wang and J.O. Berger (2018), Robust Gaussian Stochastic Process Emulation, Annals of Statistics, 46, 3038-3066.

Examples

#-------------------------------------
# Example: a simple example with noise 
#-------------------------------------

y_R<-function(x){
  cos(2*pi*x)
}

###let's test for 2000 observations
set.seed(1)
num_obs=2000
input=runif(num_obs)

output=y_R(input)+rnorm(num_obs,mean=0,sd=0.1)

##constucting the fgasp.model
fgasp.model=fgasp(input, output)
show(fgasp.model)

FastGaSP documentation built on Sept. 5, 2021, 5:36 p.m.