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Description

Some simple shortcuts to model fitting engines.

Usage

## BayesX.
bayesx2(...)

## Gradient boosting.
boost2(...)

## Lasso.
lasso2(...)

Arguments

...

Arguments passed to bamlss and predict.bamlss.

Value

A bamlss object.

See Also

Examples

## 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)

bamlss

Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

v1.1-3
GPL-2 | GPL-3
Authors
Nikolaus Umlauf [aut, cre] (<https://orcid.org/0000-0003-2160-9803>), Nadja Klein [aut] (<https://orcid.org/0000-0002-5072-5347>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Meike Koehler [ctb], Thorsten Simon [aut] (<https://orcid.org/0000-0002-3778-7738>), Stanislaus Stadlmann [ctb]
Initial release
2021-01-25

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