FastGaSP (version 0.6.0)

show.fgasp: Show an fgasp object.

Description

Function to print the fgasp object.

Usage

# S4 method for fgasp
show(object)

Arguments

object

an object of class fgasp.

Author

tools:::Rd_package_author("FastGaSP")

Maintainer: tools:::Rd_package_maintainer("FastGaSP")

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)