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#' Summarise SSM class object
#'
#' Printing an SSM will summarise the parameters d, N, and n. If no model has
#' been fit then this will be noted, otherwise The smoothness of the SSM will be
#' shown. If sensitivity analysis has been performed, the Sobol indices and
#' Total indices for main effects are displayed and if cross-validation has been
#' performed the Standardised LOO RMSE is also shown.
#'
#' @param object An SSM object
#'
#' @export
setMethod("show", "SSM",
function(object){
cat("Smooth supersaturated model in d=",
object@dimension,
" variables with N=",
object@basis_size,
" terms over design of n=", object@design_size, " points.\n", sep="")
if (object@fail) {
cat("No SSM has been fit.\n")
} else {
cat("Smoothness measure Psi_2=", object@theta %*% object@K %*% object@theta, "\n", sep="")
}
if (length(object@variances)>0) {
cat("Main effect Sobol' indices:\n")
print(round(object@main_sobol, digits = 3))
cat("Total indices:\n")
print(round(object@total_sobol, digits = 3))
}
if (length(object@LOO_RMSE)>0)
cat("Standardised LOO RMSE =", object@LOO_RMSE,"\n")
}
)
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