flm: Forward Regression Selection for Linear Models.
In pboost: Profile Boosting Framework for Parametric Models

View source: R/flm.R

flm	R Documentation

Forward Regression Selection for Linear Models.

Description

flm() inherits the usage of the function lm, and performs forward regression selection for linear models.

Usage

flm(
  formula,
  data,
  subset,
  weights,
  na.action,
  method = "qr",
  model = TRUE,
  x = FALSE,
  y = FALSE,
  qr = TRUE,
  singular.ok = TRUE,
  contrasts = NULL,
  offset,
  ...,
  selectFun = logLik,
  stopFun = "EBIC",
  keep = NULL,
  maxK = NULL,
  verbose = FALSE
)

flm.fit(
  x,
  y,
  offset = NULL,
  method = "qr",
  tol = 1e-07,
  singular.ok = TRUE,
  ...,
  selectFun = "logLik",
  stopFun = "EBIC",
  keep = NULL,
  maxK = NULL,
  verbose = FALSE
)

Arguments

`formula`	Parameter passed to lm.
`data`	Parameter passed to lm.
`subset`	Parameter passed to lm.
`weights`	Parameter passed to lm.
`na.action`	Parameter passed to lm.
`method`	Parameter passed to lm.
`model`	Parameter passed to lm.
`x`	Parameter passed to lm.
`y`	Parameter passed to lm.
`qr`	Parameter passed to lm.
`singular.ok`	Parameter passed to lm.
`contrasts`	Parameter passed to lm.
`offset`	Parameter passed to lm or lm.fit.
`...`	Parameters passed to lm or lm.fit.
`selectFun`	Parameter passed to frs.
`stopFun`	Parameter passed to frs.
`keep`	Parameter passed to frs.
`maxK`	Parameter passed to frs.
`verbose`	Parameter passed to frs.
`tol`	Parameter passed to lm.fit.