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Updated the two tests for nonconvergence. Will check against results generated by directly calling lavaan
functions. (0.1.6.1)
To be ready for newer versions of lavaan
. (0.1.7 - 0.1.8)
lavaan_rerun()
. (0.1.6.2)Added index_plot()
for generating an index plot for an arbitrary statistic. (0.1.5.5)
Added user_change_raw()
for computing case influence on user statistics. (0.1.5.8)
pars_id()
. Users can now use the internal lavaan
group labels (e.g., ".g2"
, ".g3"
) to denote parameters in a group. This method is not recommended (noted in the help page) but is included as an option. (0.1.5.2)lavaan::lavCor()
to estimate means and correlations for Mahalanobis distance when missing data is present. The package norm2
is no longer needed nor suggested. (0.1.5.4)README.md
. (0.1.5.7)est_change()
, est_change_raw()
, est_change_approx()
, and est_change_raw_approx()
. (0.1.4.3, 0.1.4.16, 0.1.4.18, 0.1.4.19, 0.1.4.20)fit_measures_change()
and fit_measures_change_approx()
. (0.1.4.4, 0.1.4.16)mahalanobis_rerun()
and mahalanobis_predictors()
(0.1.4.5-0.1.4.6, 0.1.4.16, 0.1.4.18)influence_stat()
. (0.1.4.7)":="
to pars_id()
. (0.1.4.13)pkgdown
site. (0.1.4.1)approx_check()
will check if the model has at least one equality constraint. (0.1.4.2)pars_id()
. (0.1.4.12)pgkdown
websites. (0.1.4.15)print.lavaan_rerun()
, keep the format of lavaan warnings. (0.1.4.17)fit_measures_change_approx()
only supports selected fit measures. (0.1.4.21)cutoff_change
and largest_change
to est_change_gcd_plot()
. (0.1.4.22)approx_check()
to check whether the input object is supported by the approximate method. (0.1.1.2)est_change_plot()
and est_change_gcd_plot()
, diagnostic plots for casewise influence on parameter estimates. (0.1.1.3)pars_id_to_lorg()
. (0.1.4)skip_all_checks
to lavaan_rerun()
, allowing users to experiment lavaan_rerun()
and other functions on models not officially supported.est_change()
and est_change_raw()
to support the use of operators (e.g., ~
, =~
) to select parameters.est_change()
, est_change_raw()
and est_change_approx()
to support models with labelled parameters. (0.1.0.9005)pars_id()
and pars_id_to_lorg()
for converting parameter specification to identification numbers ( positions in the vector of coefficients or row numbers in the parameter tables). (0.1.0.9006)est_change_*
functions to use pars_id()
and pars_id_to_lorg()
. (0.1.0.9007)lavaan_rerun()
to use lavaan::lavaan()
instead of update()
as the default way to rerun. (0.1.0.9008).influence_stat()
and the plot functions to support the approximate approach. (0.1.0.9012)Added more vignettes.
lavaan_rerun()
can accept an output with inadmissible estimates. Disabled by default. Can be enabled by setting allow_inadmissible
to TRUE
.
Added a print method for the lavaan_rerun()
class.
Added mahalanobis_predictors()
to compute the Mahalanobis distance using only the observed predictors.
Both mahalanobis_predictors()
and mahalanobis_rerun()
support datasets with missing data.
lavaan_rerun()
can specify cases to exclude and rerun by specifying the case IDs or selecting cases based on Mahalanobis distance on all observed variables or on residuals of observed variables in a path model.
Used lavaan::update()
in lavaan_rerun. This is more reliable than recreating the call.
Added implied_scores()
. It supports only single-group path analysis models for now.
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.