smooth.construct.ms.smooth.spec: Smooth constructor for monotonic P-splines

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

Smooth constructor for monotonic P-splines

Description

The function sets up a smooth term for shape constraint estimation of P-spline model terms. Note that this currently only works using boosting and backfitting.

Usage

## S3 method for class 'ms.smooth.spec'
smooth.construct(object, data, knots, ...)

Arguments

object	Either a smooth specification object, or object of class "bamlss", "bamlss.frame", "bamlss.formula" or "bamlss.terms". For smooth specification objects, see function smooth.construct.
data	A data frame or list, see also see function smooth.construct.
knots	See function smooth.construct.
...	Arguments passed to the smooth term constructor functions.

Value

See function see smooth.construct.

See Also

bamlss.frame, bamlss.formula, bamlss, smooth.construct.

Examples

## Not run: ## Generate some data.
set.seed(123)

n <- 300
x <- runif(n, -2, 3)
y <- sin(x) + rnorm(n, sd = 0.1)

d <- data.frame("y" = y, "x" = x)

## Increasing: constr = 1.
## Decreasing: constr = 2.
b <- bamlss(y ~ s2(x,bs="ms",xt=list(constr=1)),
  data = d, optimizer = opt_bfit, sampler = sam_MVNORM)

## Predict and plot.
p <- predict(b, model = "mu", FUN = c95)
plot(y ~ x)
plot2d(p ~ x, add = TRUE, col.lines = 4, lwd = 2)

## End(Not run)

bamlss documentation built on Nov. 2, 2023, 5:31 p.m.