setInitParams: Initializing kernel parameters
In PROBIC/GPrank: Gaussian Process Ranking of Multiple Time Series

Description Usage Arguments Value Author(s) Examples

Function for setting initial parameters to reasonable values after performing a grid search over parameters within their pre-set ranges. Loglikelihood is computed for each combination of parameter values on the grid, and those which lead to the highest loglikelihood value are set as initial values.

1	setInitParams(model, grid_size = 5)

`model`	GP model.
`grid_size`	Size of the grid over which the search for maximum likelihood will be done. Default value is 5.

Return GP model with the parameters initialized at reasonable values.

Hande Topa, hande.topa@helsinki.fi

x=as.matrix(seq(1,10))
y=as.matrix(sin(x))
v=as.matrix(runif(10,0,0.5))
kernelTypes=c("rbf","white","fixedvariance")
model=constructModel(x,y,v,kernelTypes)
model=setInitParams(model)