In seonghobae/kaefa: kwangwoon automated exploratory factor analysis

knitr::opts_chunk$set(
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kaefa

The goal of kaefa is to improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment with automated exploratory factor analysis (aefa) framework

Installation

You can install kaefa from github with:

# install.packages("devtools")
devtools::install_github("seonghobae/kaefa")

Example

This is a basic example which shows you how to solve a common problem:

## basic example code
library('kaefa')
mod1 <- kaefa::aefa(mirt::Science)
mod1

software quality information

ubuntu and mac environment

windows environment

Contributor Code of Conduct

seonghobae/kaefa documentation built on May 8, 2022, 3:31 p.m.