fbetareg: Forward Regression Selection for Beta Regression Models
In pboost: Profile Boosting Framework for Parametric Models

fbetareg

R Documentation

Forward Regression Selection for Beta Regression Models

Description

fbetareg() inherits the usage of the function betareg::betareg, and performs forward regression selection for beta regression models.

Usage

fbetareg(
  formula,
  data,
  subset,
  na.action,
  weights,
  offset,
  link = c("logit", "probit", "cloglog", "cauchit", "log", "loglog"),
  link.phi = NULL,
  type = c("ML", "BC", "BR"),
  dist = NULL,
  nu = NULL,
  control = betareg.control(...),
  model = TRUE,
  y = TRUE,
  x = FALSE,
  ...,
  selectFun = logLik,
  stopFun = "EBIC",
  keep = NULL,
  maxK = NULL,
  verbose = FALSE
)

Arguments

`formula`	Parameter passed to betareg::betareg.
`data`	Parameter passed to betareg::betareg.
`subset`	Parameter passed to betareg::betareg.
`na.action`	Parameter passed to betareg::betareg.
`weights`	Parameter passed to betareg::betareg.
`offset`	Parameter passed to betareg::betareg.
`link`	Parameter passed to betareg::betareg.
`link.phi`	Parameter passed to betareg::betareg.
`type`	Parameter passed to betareg::betareg.
`dist`	Parameter passed to betareg::betareg.
`nu`	Parameter passed to betareg::betareg.
`control`	Parameter passed to betareg::betareg.
`model`	Parameter passed to betareg::betareg.
`y`	Parameter passed to betareg::betareg.
`x`	Parameter passed to betareg::betareg.
`...`	Parameters passed to betareg::betareg.
`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.