model.frame.bamlss

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BAMLSS Model Frame

Extracts the model frame of a bamlss or bamlss.frame object.

Keywords
regression, models
Usage
# S3 method for bamlss
model.frame(formula, ...)

# S3 method for bamlss.frame model.frame(formula, ...)

## Internal helper function for creating ## the model frame. bamlss.model.frame(formula, data, family = gaussian_bamlss(), weights = NULL, subset = NULL, offset = NULL, na.action = na.omit, specials = NULL, contrasts.arg = NULL, drop.unused.levels = TRUE, ...)

Arguments
formula

An object of class "bamlss" or "bamlss.frame".

data

A data.frame or list containing the model response variable(s) and covariates specified in the formula. By default the variables are taken from environment(formula).

family

A bamlss.family object, see function bamlss.

weights

Prior weights on the data.

subset

An optional vector specifying a subset of observations to be used in the fitting process.

offset

Can be used to supply model offsets for use in fitting.

na.action

A function which indicates what should happen when the data contain NA's. The default is set by the na.action setting of options, and is na.omit if set to NULL.

specials

Special function in formulas, see terms.object.

contrasts.arg

An optional list. See the contrasts.arg of model.matrix.default.

drop.unused.levels

Should factors have unused levels dropped?

Arguments to be passed to bamlss.model.frame() and others.

Value

The data.frame containing the variables used for modeling with function bamlss.

See Also

bamlss, bamlss.frame, model.matrix.bamlss.frame.

Aliases
  • model.frame.bamlss
  • model.frame.bamlss.frame
  • bamlss.model.frame
Examples
# NOT RUN {
## Generate some data.
d <- GAMart()

## Model formula.
f <- list(
  log(pnum) ~ s(x1) + log(x2),
  sigma ~ s(x3)
)

## Estimate model.
b <- bamlss(f, data = d)

## Extract the model frame.
head(model.frame(b))
# }
Documentation reproduced from package bamlss, version 1.1-2, License: GPL-2 | GPL-3

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