summary.betanb: Summary Method for an Object of Class 'betanb'

In betaNB: Bootstrap for Regression Effect Sizes

Summary Method for an Object of Class betanb

Description

Summary Method for an Object of Class betanb

Usage

## S3 method for class 'betanb'
summary(object, alpha = NULL, type = "pc", digits = 4, ...)

Arguments

object	Object of Class betanb, that is, the output of the BetaNB(), RSqNB(), SCorNB(), DeltaRSqNB(), PCorNB(), or DiffBetaNB() functions.
alpha	Numeric vector. Significance level \alpha. If alpha = NULL, use the argument alpha used in object.
type	Charater string. Confidence interval type, that is, type = "pc" for percentile; type = "bc" for bias corrected; type = "bca" for bias corrected and accelerated.
digits	Digits to print.
...	additional arguments.

Value

Returns a matrix of estimates, standard errors, number of bootstrap replications, and confidence intervals.

Author(s)

Ivan Jacob Agaloos Pesigan

betaNB documentation built on April 12, 2025, 9:13 a.m.