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bifactory  

(Bifactor) ESEM with Continuous (MLR) or Ordinal (WLSMV) Data
View on CRAN: Click here


Download and install bifactory package within the R console
Install from CRAN:
install.packages("bifactory")

Install from Github:
library("remotes")
install_github("cran/bifactory")

Install by package version:
library("remotes")
install_version("bifactory", "0.6.0")



Attach the package and use:
library("bifactory")
Maintained by
Leon T. De Beer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-11
Latest Update: 2026-07-11
Description:
Fits bifactor exploratory structural equation models (B-ESEM), together with standard exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA), for continuous and ordered-categorical data. Continuous models use 'lavaan' native efa() blocks with robust maximum likelihood (MLR) estimation. Ordered-categorical ESEM defaults to the 'lavaan' weighted least squares mean- and variance-adjusted (WLSMV) estimator; ordered B-ESEM uses a custom diagonally weighted least squares (DWLS) path with polychoric correlations from 'psych', rotation-delta standard errors via 'numDeriv', and a mean- and variance-adjusted chi-square. Target, geomin, and oblimin rotations use 'GPArotation'; the bifactor ESEM approach follows Morin, Arens and Marsh (2016) <doi:10.1080/10705511.2014.961800>. Additional features include multi-group measurement invariance (configural through strict, with partial invariance), ESEM-within-CFA conversion, McDonald's omega reliability suite, and the Mehrvarz and Rouder (2026) <doi:10.31234/osf.io/95enc_v3> alignment ratio check for independent cluster model confirmatory factor analysis (ICM-CFA) misspecification. An optional 'MplusAutomation' interface allows side-by-side comparison with 'Mplus' output.
How to cite:
Leon T. De Beer (2026). bifactory: (Bifactor) ESEM with Continuous (MLR) or Ordinal (WLSMV) Data. R package version 0.6.0, https://cran.r-project.org/web/packages/bifactory. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-09-09 14:30), 0.5.1 (2026-07-11 11:30), 0.5.2 (2026-08-28 13:40)
Other packages that cited bifactory R package
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Complete documentation for bifactory
Functions, R codes and Examples using the bifactory R package
Full bifactory package functions and examples
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