knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

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

Travis-CI Build Status

windows environment

AppVeyor Build Status

Contributor Code of Conduct



seonghobae/kaefa documentation built on Oct. 9, 2018, 7:34 p.m.