-
Added the argument
exclude_xy_cov
andexclude_feedback
toget_add()
andmodel_set()
, for excluding paths that create feedback loops, and covariances involving a predictor and an outcome variable (including those linked by indirect paths). Default values has been changed toTRUE
since 0.1.3.5. To reproduce results from previous version, set them toFALSE
. (0.1.3.2, 0.1.3.5) -
Added
min_bpp_labelled
tomodel_graph()
, to hide the labels of models with small BPPs. (0.1.3.5) -
Added the argument
drop_equivalent_models
, tomodel_set()
. IfTRUE
, the default, the models fitted will be checked for equivalence. If two or more more models are equivalent, only one of them will be retained. The groups of equivalent models identified, and the models dropped, will be printed by the print method. (0.1.3.9) -
Added
measurement_invariance_models()
, for generating metric and scalar invariance models and their partial invariance versions. (0.1.3.10 - 0.1.3.11)
-
Because it is very likely that users would like to see come fit measures along with BPPs, the default of
more_fit_measures
of the print method ofmodel_set
-class object changed toc("cfi", "rmseas")
. (0.1.3.7) -
Revised
fit_many()
to support multigroup models. (0.1.3.8) -
A progress bar can be displayed when
model_set()
is identifying nested models. (0.1.3.13) -
Shortened
BIC Posterior Probability
toBPP
in some sections of the printout ofprint.model_set()
. (0.1.3.14) -
Cumulative BPPs no longer displayed by default in
print.model_set()
. Print them by settingcumulative_bpp
toTRUE
. (0.1.3.15)
-
The
must_not_add
argument should work now for some parameters that may not be recognized as interchangeable. (0.1.3.1) -
Fixed a bug in
must_not_drop
andmust_drop
ofget_drop()
. They should work properly now. (0.1.3.5) -
Fixed a bug in
model_graph()
. Short names should now be properly constructed. (0.1.3.3) -
Fixed some bugs in
print.model_set()
about the printing of additional fit measures. (0.1.3.6, 0.1.3.7) -
Fixed a bug in checking whether two models are equivalent. (0.1.3.12)
- Updated
model_set()
to work with user-supplied models. These models are supplied as parameter tables through the argumentpartables
. (0.1.2.7) - Updated the
print
-method ofmodel_set
-class objects. Users can set the prior probabilities of one or more models of their choice. (0.1.2.7) - Added a
c
-method forpartables
-class andmodel_set
-class objects. For the ease of adding user models when callingmodel_set()
. (0.1.2.7) - Users can supplied a named list of
fitted models (
lavaan
-class objects) tomodel_set()
through the argumentsem_out
. (0.1.2.17) - The
print
method ofmodel_set()
supports printing additional fit measures available fromlavaan::fitMeasures()
. Check the argumentmore_fit_measures
. (0.1.2.27) - The
print
method ofmodel_set()
support printing short model names, which can be used to interpret the output ofmodel_graph()
. (0.1.2.29, 0.1.2.30) - Updated
model_graph()
to determine nested relation using the method by Bentler and Satorra (2010). This can be done only iffixed.x
is set toFALSE
. (0.1.2.10, 0.1.2.19) - A progress bar can be shown by
model_graph()
if nested relations need to be determined. (0.1.2.28)
- Updated
model_graph()
to plot user-supplied models. (0.1.2.7) - Updated
model_graph()
with new options. Ifdrop_redundant_direct_paths
isTRUE
(default), redundant direct paths will be removed. - Models differ by more than one df
will now be connected in
model_graph()
. (0.1.2.20) - New arguments are added to
model_graph()
to label arrows by model df differences (seelabel_arrow_by_df
), and weight arrow widths by model df differences (seeweight_arrows_by_df
). (0.1.2.20)
- Added more functions to manipulate
a
partables
-class object. (0.1.2.8) - Added a few helper functions for
partables
-class objects. (0.1.2.9, 0.1.2.12) - The models generating progress can display a progress bar. (0.1.2.24, 0.1.2.25, 0.1.2.26)
- Users can request
model_graph()
to use short names in the graph, if they are created and stored bymodel_set()
. (0.1.2.29, 0.1.2.30)
- Updated info related to the first CRAN release (0.1.2.1).
- Added a logo.
- Suppress the warning from
lavaan::modificationIndices()
about equality constraints. (0.1.2.5) - Updated
unique_models()
to handle user-supplied models. (0.1.2.6) - Duplicated models with identical
parameter tables
will be removed by
model_set()
. (0.1.2.11) - Improved the text in the
print
method ofpartables
. (0.1.2.13) model_set()
will check whether the sum of user-supplied prior probabilities is less than 1. (0.1.2.14)- Updated the
print
method ofmodel_set
objects to print original model dfs. (0.1.2.15) - When calling
fit_many()
, can set the model with whichfit_many()
will compute model df difference. (0.1.2.16) - Reorganized some test files. (0.1.2.18)
- Improved the speed in identifying identical parameter tables. (0.1.2.22, 0.1.2.23)
- Revised several functions to handle nonconvergence. (0.1.2.31)
- Revised the print method for
model_set
-class object to print models that failed the past.check oflavaan
. (0.1.2.32)
- Fixed a bug in which error occurs in
model_set()
if no paths are dropped or no paths are added. (0.1.2.3) - Corrected a typo in the help page of
gen_models()
's argument,output
. - Fixed a bug in normalizing the width of arrows. (0.1.2.21)
- First version submitted to CRAN.
- Fixed a few typos in Get Started. (0.1.0.9001)
- Used a bibliography file in vignettes. (0.1.0.9002)
- Disabled parallel processing in a test. (0.1.0.9002)
- Fixed typos in README.md. (0.1.0.9003)
- Used
tinytest
for tests. (0.1.0.9004 - 0.1.0.9006) - Simplified some examples. (0.1.0.9007)
- Pregenerated some figures (0.1.1.9001)
- Finalized to 0.1.2.