Latent Variable Models Diagnostics

Documentation for package ‘lavDiag’ version 0.1.0

augment	Augment SEM data with predictions, residuals, SEs/CIs, and ordinal extras
hopper_plot	Hopper plot of the largest residual correlations
item_data	Compute Empirical and Model-Based Item Curves with Fit Diagnostics
item_plot	Plot model-implied vs empirical item curves by latent factor (single- or multi-group)
lavPredict_parallel	Fast & robust parallel wrapper for lavaan::lavPredict()
model_info	Extract compact, robust meta-information about a lavaan fit
parameter_estimates	Parameter estimates from lavaan with a unified schema
plot_cfa	Interactive CFA/SEM diagram via visNetwork
prepare	Prepare smooth latent grids + model-based item curves (continuous, ordinal, or mixed)
resid_cor	Residual correlations (Bentler or other types) as a tidy tibble
resid_corrplot	Corrplot of residual correlations (configurable type)
resid_qq	Q-Q plot of residual correlation z-statistics