Updated user_change_raw()
to allow for user
functions that return an unnamed vector. Also added a
pkgdown
website article for user_change_raw()
.
(0.1.8.5)
For lavaan_rerun()
, added the argument
ncores
to make it easier to set the number of CPU cores to
use in parallel processing. (0.1.8.7)
For lavaan_rerun()
, added the option to show a
progress bar (generated by pbapply
) by setting
progress
to TRUE
. Enabled by default.
(0.1.8.8)
Added on.exit()
such that workers will be stopped if
lavaan_rerun()
terminates abnormally. (0.1.8.2)
Updated some default values of approx_check()
to
reflect new features added to other functions. (0.1.8.4)
Fixed a few Rd issues on CRAN. (0.l.8.6)
Print a more conservative estimate of the expected time. (0.1.8.7)
Remove an invalid link in the reference. (0.1.8.9)
index_plot()
when the extracted column
has no names. (0.1.8.1)lavaan
functions.
(0.1.6.1)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.