Some Shortcuts
Some simple shortcuts to model fitting engines.
## BayesX. bayesx2(...) ## Gradient boosting. boost2(...) ## Lasso. lasso2(...)
... |
Arguments passed to |
A bamlss
object.
## Not run: ## Simulate data. set.seed(123) d <- GAMart() ## Estimate model. f <- num ~ s(x1) + s(x2) + s(x3) + s(lon,lat) ## Boosted model. b <- boost2(f, data = d) ## Plot estimated effects. plot(b) ## End(Not run)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.