gamlss2_control – gamlss2

Control Parameters

Description

Various parameters that control fitting of GAMLSS using gamlss2.

Usage

gamlss2_control(optimizer = RS, trace = TRUE,
  flush = TRUE, light = FALSE, expand = TRUE,
  model = TRUE, x = TRUE, y = TRUE,
  fixed = FALSE, ...)

Arguments

`optimizer`	Function, the optimizer function that should be used for fitting.
`trace`	Logical, should information be printed while the algorithm is running?
`flush`	Logical, use `flush.console` for displaying the current output in the console.
`light`	Logical, if set to `light = TRUE`, no model frame, response, model matrix and other design matrices will be part of the return value.
`expand`	Logical, if fewer formulas are supplied than there are parameters of the distribution, should formulas with intercept only formulas be added?
`model`	Logical, should the model frame be included as component of the returned object.
`x`	Logical, indicating whether the model matrix should be included as component of the returned object.
`y`	Logical, should the response be included as component of the returned object.
`fixed`	Logical, a named vector of parameters that should be fixed during estimation. See the examples for `gamlss2`.
`…`	Further control parameters to be part of the return value, e.g., used within optimizer function `RS`.

Details

The control parameters in gamlss2_control can also be extended, e.g., if another optimization function is used, newly specified control parameters are automatically passed on to this function.

Value

A list with the arguments specified.

Examples

library("gamlss2")


data("abdom", package = "gamlss.data")

## specify the model Formula
f <- y ~ s(x) | s(x)

## estimate model with different step length
## control in the RS algorithm
b1 <- gamlss2(f, data = abdom, family = BCT, step = 1)
b2 <- gamlss2(f, data = abdom, family = BCT, step = 0.9)