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	See pboost.
data	See pboost.
subset	Parameters passed to betareg::betareg.
na.action	Parameters passed to betareg::betareg.
weights	Parameters passed to betareg::betareg.
offset	Parameters passed to betareg::betareg.
link	Parameters passed to betareg::betareg.
link.phi	Parameters passed to betareg::betareg.
type	Parameters passed to betareg::betareg.
dist	Parameters passed to betareg::betareg.
nu	Parameters passed to betareg::betareg.
control	Parameters passed to betareg::betareg.
model	Parameters passed to betareg::betareg.
y	Parameters passed to betareg::betareg.
x	Parameters passed to betareg::betareg.
...	Parameters passed to betareg::betareg.
stopFun	Parameters passed to pboost.
keep	Parameters passed to pboost.
maxK	Parameters passed to pboost.
verbose	Parameters passed to pboost.

Value

An betareg model object fitted on the selected features.

Examples

library(betareg)
set.seed(2025)
n <- 300
p <- 100
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)

pboost documentation built on Jan. 9, 2026, 1:07 a.m.