Package index
Approximate Bayesian estimation of latent variable models
Main lavaan-style functions to estimate SEM.
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inlavaan() - Fit an Approximate Bayesian Latent Variable Model
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acfa() - Fit an Approximate Bayesian Confirmatory Factor Analysis Model
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asem() - Fit an Approximate Bayesian Structural Equation Model
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agrowth() - Fit an Approximate Bayesian Growth Curve Model
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priors_for() - Specify priors for a SEM
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coef(<INLAvaan>)nobs(<INLAvaan>)show(<INLAvaan>)summary(<INLAvaan>) - Class For Representing a (Fitted) Latent Variable Model
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standardisedsolution()standardisedSolution()standardizedsolution()standardizedSolution() - Standardised solution of a latent variable model
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diagnostics() - Convergence and Approximation Diagnostics for INLAvaan Models
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timing() - Timing Information for INLAvaan Models
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fitMeasures(<INLAvaan>)fitmeasures(<INLAvaan>) - Fit Measures for a Latent Variable Model estimated using INLA
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bfit_indices()summary(<bfit_indices>)print(<bfit_indices>) - Bayesian Fit Indices
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compare() - Compare Bayesian Models Fitted with INLAvaan
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plot(<INLAvaan>,<ANY>) - Plot an INLAvaan Object
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vcov(<INLAvaan>) - Variance-Covariance Matrix for INLAvaan Models
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predict(<INLAvaan>) - Posterior Predictions for INLAvaan Models
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simulate(<INLAvaan>) - Simulate Datasets from the Generative Model
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sampling() - Draw Samples from the Generative Model
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dbeta_box() - Density of a Beta distribution on a bounded interval
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dsnorm() - The Skew Normal Distribution
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qsnorm_fast() - Fast Approximation of Skew-Normal Quantile Function
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fit_skew_normal() - Fit a skew normal distribution to log-density evaluations
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fit_skew_normal_samp() - Fit a skew normal distribution to a sample
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is_same_function() - Helper function to check if two functions are the same
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as_fun_string() - Convert function to single string
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get_inlavaan_internal() - Extract the Internal INLAvaan Object