For each smooth term estimated with MCMC, the function computes 95 intervals and simply computes the fraction of the cases where the interval does not contain zero.
smooth_check(object, newdata = NULL, model = NULL, term = NULL, ...)
A fitted model object which contains MCMC samples.
Optionally, use new data for computing the check.
Character, for which model should the check be computed?
Character, for which term should the check be computed?
Arguments passed to
if (FALSE) ## Simulate some data. d <- GAMart() ## Model formula. f <- list( num ~ s(x1) + s(x2) + s(x3), sigma ~ s(x1) + s(x2) + s(x3) ) ## Estimate model with MCMC. b <- bamlss(f, data = d) #> Error in bamlss.model.frame(formula, data, family, weights, subset, offset, na.action, specials, contrasts): object 'd' not found ## Run the check, note that all variables ## for sigma should have no effect. smooth_check(b) #> Error in smooth_check(b): object 'b' not found