R Packages for Data Analysis

Emerging analytic techniques and learning analytics are central to my research.

Here is a list of R packages I have used and would like to continue exploring in future work:

Network Psychometrics & Exploratory Graph Analysis

• EGAnet – Implements Exploratory Graph Analysis (EGA) for estimating the dimensionality of multivariate data using network models
  CRAN: EGAnet

• qgraph – Visualization of psychometric networks; supports network estimation, clustering, and plotting
  CRAN: qgraph
  
  

• bootnet – Bootstrapping and accuracy estimation for psychological networks
  CRAN: bootnet
  
  

• psychonetrics – Estimation of a wide range of psychometric network models including latent network models
  CRAN: psychonetrics
  
  

• BGGM – Bayesian Gaussian Graphical Models for estimating and testing psychological networks
  CRAN: BGGM
  
  

• NetworkToolbox – A comprehensive toolbox for network analysis in psychology and neuroscience
  CRAN: NetworkToolbox
  
  

Factor Analysis & Psychometrics

• psych – Core functions for psychological measurement, including factor analysis, reliability, and scoring
  CRAN: psych
  
  

• lavaan – Structural Equation Modeling (SEM), confirmatory factor analysis (CFA), path analysis
  CRAN: lavaan  
  
  

• semTools – Utilities for use with lavaan, including measurement invariance and model comparison
  CRAN: semTools
  
  

• mirt – Multidimensional Item Response Theory modeling
  CRAN: mirt
  
  

• efaTools – Implements modern exploratory factor analysis techniques with an emphasis on usability
  CRAN: efaTools