Compute pointwise bootstrap confidence intervals
# S3 method for betaboost
confint(object, ...)a fitted model object of class betaboost for which the confidence
intervals should be computed.
additional arguments. See confint.mboost for further details.
An object of class glmboost.ci or mboost.ci with special
print and/or plot functions.
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).
Benjamin Hofner, Thomas Kneib and Torsten Hothorn (2016), A Unified Framework of Constrained Regression. Statistics & Computing, 26, 1--14.