Latent Variable Analysis
Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Demo dataset for a illustrating a linear growth model.
Demo dataset for a illustrating a multilevel CFA.
Dataset for illustrating the InformativeTesting function.
Holzinger and Swineford Dataset (9 Variables)
Testing order/inequality Constrained Hypotheses in SEM
Industrialization And Political Democracy Dataset
Bootstrapping a Lavaan Model
Fit Confirmatory Factor Analysis Models
Extract Empirical Estimating Functions
Fit Measures for a Latent Variable Model
Utility Functions For Covariance Matrices
Fit Growth Curve Models
Observed Variable Correlation Matrix from a Model and Data
Polychoric, polyserial and Pearson correlations
lavaan Export
Inspect or extract information from a fitted lavaan object
Inspect or extract information from a lavaanList object
lavaan matrix representation
lavaan Names
lavaan Options
Parameter Table
Predict the values of latent variables (and their indicators).
Residuals
lavaan frequency tables
Pairwise maximum likelihood fit statistics
LRT test
Score test
Wald test
Utility Functions: Constraints
lavaan data functions
Utility Functions: Gradient and Jacobian
Utility Functions: Matrices and Vectors
lavaan model functions
lavaan partable functions
lavaan samplestats functions
Fit a Latent Variable Model
Class For Representing A (Fitted) Latent Variable Model
Fit List of Latent Variable Models
Class For Representing A List of (Fitted) Latent Variable Models
The Lavaan Model Syntax
Modification Indices
mplus to lavaan converter
Convert Mplus model syntax to lavaan
Parameter Estimates
Methods for output InformativeTesting()
Fit Structural Equation Models using the SAM approach
Fit Structural Equation Models
Simulate Data From a Lavaan Model Syntax
Standardized Solution
Variable Table
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