get_fieller_ci: Find the Fieller interval for each k

In mifa: Multiple Imputation for Exploratory Factor Analysis

Description

This function is used by mifa_ci_fieller() to compute Fieller's confidence intervals for each of the components of n_pc.

Usage

get_fieller_ci(eig_imp, n_pc, conf, N, m)

Arguments

eig_imp	A matrix with each of its columns the eigenvalues of the estimated covariance matrix for each imputed data.
n_pc	Integer or integer vector indicating number of principal components (eigenvectors) for which explained variance (eigenvalues) should be obtained and for which confidence intervals should be computed. Defaults to all principal components, i.e., the number of variables in the data.
conf	Confidence level for constructing confidence intervals. The default is .95 that is, 95% confidence intervals.
N	A scalar specifying sample size.
m	A scalar specifying number of multiple imputations.

Value

A vector of length 2, containing the lower and upper bounds of estimated Fieller's interval.

mifa documentation built on Jan. 22, 2021, 5:10 p.m.