confint.gpls: Confidence Intervals for Model Parameters

In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities

Description

Confidence Intervals for Model Parameters

Usage

## S3 method for class 'gpls'
confint(object, conf.level = 0.95, se.type = "HC4m", ...)

Arguments

object	a gpls fitted object
conf.level	the confidence level required. the default is 95 pct.
se.type	which variant of the Huber-White robust standard errors should be used. Defaults to "HC4m".
...	other

Value

A matrix with columns giving lower and upper confidence limits for each parameter.

abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.