The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
Health stats visible at Monitor.