confint: Pointwise Bootstrap Confidence Intervals

In boost-R/betaboost: Boosting Beta Regression

Description

Compute pointwise bootstrap confidence intervals

Usage

## S3 method for class 'betaboost'
confint(object, ...)

Arguments

object	a fitted model object of class betaboost for which the confidence intervals should be computed.
...	additional arguments. See confint.mboost for further details.

Details

Use a nested boostrap approach to compute pointwise confidence intervals for the predicted partial functions or regression parameters. The approach is further described in Hofner et al. (2016).

Note that confidence intervals are currently only provided for beta regression models with constant precision parameter (i.e., phi cannot be modeled as a function of covariates).

Value

An object of class glmboost.ci or mboost.ci with special print and/or plot functions.

Author(s)

Benjamin Hofner <[e-mail]>

References

Benjamin Hofner, Thomas Kneib and Torsten Hothorn (2016), A Unified Framework of Constrained Regression. Statistics & Computing, 26, 1–14.

See Also

confint.mboost

boost-R/betaboost documentation built on May 5, 2019, 4:51 p.m.