gridfunction: A grid of points for obtaining
the static parameters of the non-Gaussian state space models with
exact marginal likelihood
Description
The function builds a grid of the points for
the static parameters of the model.
Usage
gridfunction(npoints,linf,lsup)
Arguments
npoints
the number of points/parts that the specified interval of the static parameters is partitioned.
linf
the lower limit of the static parameters in the grid.
lsup
the upper limit of the static parameters in the grid.
Value
[[1]]
This function returns the grid of points for the static parameters of the model.
Details
Typical usages are
gridfunction(npoints,linf,lsup)
References
Gamerman, D., Santos, T. R., and Franco, G. C. (2013). A Non-Gaussian Family of State-Space
Models with Exact Marginal Likelihood. Journal of Time Series Analysis, 34(6), 625-645.
Santos T. R., Gamerman, D., Franco, G. C. (2017). Reliability Analysis via Non-Gaussian
State-Space Models. IEEE Transactions on Reliability, 66, 309-318.
# NOT RUN {library(NGSSEML)
n=5# number of pointslinf=c(0,3,-1) # lower limitlsup=c(1,6,-2) # upper limitout=gridfunction(n,linf,lsup) # Calling the function# }