R: Random Bits for BAMLSS

rb {bamlss} | R Documentation

## Random Bits for BAMLSS

### Description

This smooth constructor implements random bits model terms. Note that this is experimental.

### Usage

    ## Linear smooth constructor.
    rb(..., k = 50)

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

### Arguments

`...` | For function `rb()` a formula of the type `~x1+x2+x3` that specifies the covariates that should be modeled.
`k` | Integer, number of radnom bit columns in the design matrix.
`object, data, knots` | See `smooth.construct`.

### Value

Function `rb()`, similar to function `s` a simple smooth specification object.

### See Also

`bamlss`, `predict.bamlss`, `bfit`, `boost`

### Examples

    ## Not run: ## Simulate data.
    set.seed(123)
    d <- GAMart()

    ## Estimate model.
    f <- num ~ rb(x1) + rb(x2) + rb(x3) + rb(~lon+lat)

    b <- bamlss(f, data = d)

    plot(b)

    ## End(Not run)

[Package bamlss version 1.1-7 Index]