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lav_slopes(): computes conditional (simple) slopes from
a fitted ‘lavaan’ model.lav_vif(): variance inflation factors for structural
predictors.lav_slopes() and lav_vif()
now fully runnable and fast.%||%.lav_cv(): repeated holdout (Monte Carlo)
cross-validation of R^2 for ‘lavaan’ models.lav_cv(): CRAN-requested fixes for ASCII-only code,
explicit external function calls, and S3 method documentation.lav_cv(): further CRAN-requested fixes for ASCII-only
code and explicit external function calls.lav_fdr(): false discovery rate (Benjamini-Yekutieli by
default) correction for selected ‘lavaan’ parameter p-values.lav_fdr(): fixed table appearance for long predictor or
outcome names.lav_vif(): added support for higher-order latent
predictors, fixed multigroup handling, improved automatic data
recovery.lav_slopes(): improved automatic data recovery, added
automatic probe values for latent moderators in single-group models,
added automatic plotting ranges.lav_jn(): Johnson-Neyman regions of significance for
continuous moderators.lav_deltaR2(): incremental effect sizes (part R^2 and
Cohen’s f^2) for structural predictors via reduced-model
comparisons.lav_localfit(): residual-based local fit
diagnostics.lav_localfit(): fixed import of
utils::head().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.