pbetareg: Profile Boosting for Beta Regression

In pboost: Profile Boosting Framework for Parametric Models

Profile Boosting for Beta Regression

Description

pbetareg inherits the usage of betareg::betareg.

Usage

pbetareg(
  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,
  ...,
  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.
stopFun	Parameter passed to pboost.
keep	Parameter passed to pboost.
maxK	Parameter passed to pboost.
verbose	Parameter passed to pboost.

Value

A betareg model object fitted on the selected features.

Examples

## Not run: 
set.seed(2026)
n <- 300
p <- 20
x <- matrix(runif(n*p), n)
mu <- runif(n)
phi <- 1.0

shape1 <- mu * phi
shape2 <- (1-mu) * phi
y <- rbeta(n, shape1, shape2)
DF <- data.frame(y, x)

pbetareg(y ~ ., DF, verbose=TRUE)
fbetareg(y ~ ., DF, verbose=TRUE)

## End(Not run)

pboost documentation built on May 24, 2026, 9:08 a.m.