(Bifactor) ESEM with Continuous (MLR) or Ordered (WLSMV) Data // 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.