update_inits-bcgpmodel-method: Update the starting values for MCMC chains
In cbdavis33/bcgp: Bayesian Composite Gaussian Processes

Description Usage Arguments Details Value See Also Examples

update_inits returns an instance of S4 class bcgpmodel after updating the starting values for each Markov chain

1 2	## S4 method for signature 'bcgpmodel' update_inits(object)

object

An instance of S4 class bcgpmodel.

This returns an instance of S4 class bcgpmodel. It is generally meant to update the starting values for the Markv chains after the user has changed the prior distributions in an instance of class bcgpmodel. The new initial values are simulated from the prior distribution, ensure they are within the support of the posterior distribution.

An instance of S4 class bcgpmodel containing initial values randomly from the prior distributions for all the parameters

bcgpmodel

Other preprocessing functions: bcgpmodel, create_parameter_list

simData <- bcgpsims(composite = TRUE, stationary = FALSE, noise = FALSE)
model <- bcgpmodel(x = simData@training$x, y = simData@training$y,
                   composite = TRUE, stationary = FALSE, noise = FALSE,
                   scaled = TRUE, chains = 4L)
model@priors$w$lower <- 0.75
model <- update_inits(model)