studentized_boots: Studentized bootstrap estimates using transformers.

In alphaci: Confidence Intervals for Coefficient Alpha and Standardized Alpha

Studentized bootstrap estimates using transformers.

Description

Studentized bootstrap estimates using transformers.

Usage

studentized_boots(n_reps, x, type, parallel, transformer, standardized = FALSE)

Arguments

n_reps	Number of bootstrap repetitions.
x	Data to estimate alpha on.
type	Type of confidence interval. Either adf, elliptical, or normal.
parallel	If TRUE, makes calculations under the assumption of a parallel model.
transformer	A transformer object.
standardized	If TRUE, calculates the standardized alpha. Calculates coefficient alpha otherwise.

Value

Studentized bootstrap estimates.

alphaci documentation built on May 29, 2024, 8:55 a.m.