Changelog
Source:NEWS.md
manymome 0.2.1.2
Miscellaneous
 Try not setting the environment when calling
gen_boot_i_lavaan()
, which may not be necessary. (0.2.1.2)
Bug Fixes
 Fix a bug in
do_boot()
for multigroup models when all groups have exactly the same number of cases. (0.2.2.1)
manymome 0.2.1
CRAN release: 20240507
New Features
Multigroup Models Supported

Support for mediation paths in multigroup models fitted by
lavaan
has been added. Demonstrations can be found in this articleMany functions have been updated to work for multigroup models with mediators fitted by
lavaan
. Most common tasks support multigroup models. For functions that support moderators, the group variable will be used automatically as a moderator. Checks will be added to functions not yet support multigroup models to alert users.For paths moderated in multigroup models, only some functions (e.g.,
cond_indirect_effect()
) are supported. However, multigroup models with moderators are rare. Functions that do not yet support multigroup models (e.g,mod_levels()
) will raise an error if used on a multigroup model. Support may be added in the future.The
+
and
operators can now be used on different paths because they may be paths in different groups in multigroup models.The
plot
method ofcond_indirect_effects
class objects will be forced to be a tumble graph if the lines for different groups are to be plotted. In these cases, the data within each group will be used, including standardization. This approach, though leading to results different from those in singlegroup model using the group as a moderator, makes more sense for multigroup models, in which the distribution of variables are allowed to be different between groups. Since 0.1.14.10, by default, the model implied statistics are used to determine the means and SDs used in drawing the plot. This approach is useful when betweengroup equality constraints are present.The
plot
method ofcond_indirect_effects
class objects now supports plotting a path that involves latent variables. The model implied statistics will always be used for the latent variables when determining the means and SDs. This is useful because the groupvariable can be treated as a moderator bycond_indirect_effects()
. (0.1.14.7)
Other New Features
Added
plot_effect_vs_w()
. It can plot an effect (direct or indirect) against a moderator, using the output ofcond_indirect_effects()
. (0.1.14.14  0.1.14.15)Added
pseudo_johnson_neyman()
. It used the pseudo JohnsonNeyman approach (Hayes, 2022) to find the value of a moderator at which the conditional effect (direct or indirect) changes from nonsignificant to significant (or vice versa), based on the confidence interval selected. (0.1.14.16)
Miscellaneous
If a dataset has a variable which is a product of itself and another variable (e.g.,
x*y == x
),find_products()
will be trapped in an infinite loop. This “product term” will no longer be treated as a “product term.” (0.1.14.1)Bootstrapping and Monte Carlo simulation will no longer be run once for each path in
many_indirect_effects()
. Ifdo_boot()
ordo_mc()
is not used first but bootstrapping or Monte Carlo confidence intervals are requested, this process will be done only once, and the estimates will be reused by all paths. (0.1.14.9, a bug fixed in 0.2.1)
manymome 0.1.14
CRAN release: 20240216
New Features
 The standardizers (
scale_x
andscale_y
) for each bootstrap or simulated sample are now stored, such that the confidence interval of the unstandardized effect can be computed even if standardization is requested. (0.1.13.2)
Bug Fixes
 Fixed a nonessential bug with the math operator:
indirect_raw
, though not used for now, is now computed correctly when using+
and
. (0.1.13.1)  Fixed a minor typo in documentation. (0.1.13.3)
 Fixed a minor issue with the print method of
delta_med
class object. (0.1.13.4)  Fixed a bug with using
do_mc()
on a model which do not have a mean structure, has latent variables, and is estimated by multiple imputation. Error is no longer raised. (0.1.13.5)  Fixed a few more tests that should not be run if suggested packages are not installed. (0.1.13.6)
 No longer raises an error for dichotomous moderators. (0.1.13.7)
manymome 0.1.13
CRAN release: 20231006
New Features
 Added
delta_med()
for computing Δ_{Med} (Delta_Med), an R^{2}like measure of indirect effect proposed by Liu, Yuan, and Li (2023). Can form nonparametric bootstrap confidence interval for Δ_{Med}. (0.1.12.1, 0.1.12.3)  Added support for paths with both latent and observed variables. (0.1.12.2, 0.1.12.4)
manymome 0.1.12
CRAN release: 20230821
New Features
Can report standard errors (if requested)
 All major print methods of effects support printing standard errors (setting
se = TRUE
). They are simply the standard deviations of the bootstrap estimates (if bootstrap confidence intervals are requested) or simulated estimates (if Monte Carlo confidence intervals are requested). They should be interpreted with cautions because the sampling distribution of the effect estimates may not be symmetric. (0.1.11.2)
Miscellaneous
Customized
linters
. (0.1.11.1)Revised a test to accommodate a behavior of MKL when
MASS::mvrnorm()
is used to generate pseudo random numbers. (0.1.11.4)Finalized to 0.1.12. (0.1.12)
Bug Fixes
Pvalue were not computed when mathematical operations are conducted on effects using
+
and
before version 0.1.11.2. This has been fixed. (0.1.11.2)merge_model_matrix()
failed if all variables in anlm()
output is already present in merged outputs. Fixed in 0.1.11.3. (0.1.11.3)cond_indirect()
did not hide the progress when Monte Carlo CIs were requested anddo_mc()
was called internally. Fixed. It now hides the progress ifprogress = TRUE
. (0.1.11.5)
manymome 0.1.10
CRAN release: 20230608
New Features
Monte Carlo Confidence Intervals
 Added support for Monte Carlo confidence intervals. (0.1.9.3 to 0.1.9.4)
 Updated some vignettes for Monte Carlo confidence intervals. (0.1.9.5)
 Please refer to this article for an illustration on forming Monte Carlo confidence interval.
Multiple Imputation
 Added support for models fitted by
runMI()
orsem.mi()
from thesemTools
package using multiple imputation. (0.1.9.80.1.9.10)  Please refer to this article for an illustration on forming Monte Carlo confidence interval.
Can report pvalue (if requested)
 Some print methods support printing asymmetric bootstrap pvalues using the method presented in Asparouhov and Muthén (2021) if bootstrapping confidence interval is requested. By default, pvalues are not printed. (0.1.9.7)
Report proportion of effect mediated
 Added
indirect_proportion()
and two methods for its output. (0.1.9.12)
Others
 Exported
get_prod()
and added an article on its workflow. (0.1.9.13).  Bootstrapping can handle the
fixed.x
argument aslavaan
does. (0.1.9.17)
Bug Fixes
 Fixed
factor2var()
to work (again) for a categorical variable with only two levels. (0.1.9.21)
Miscellaneous
 Updated badges in README.md. (0.1.9.1)
 Updated
pkgdown
site. (0.1.9.2)  Used a more reliable test for Monte Carlo CIs. (0.1.9.6)
 Updated the logo for readability. (0.1.9.6)
 Fixed an error in
pkgdown
site. (0.1.9.6)  Added progress bars to
do_mc()
. (0.1.9.11)  Added
print.mc_out()
, the printmethod formc_out
class objects. (0.1.9.14)  Updated vignettes with package name. (0.1.9.15)
 Fixed typos in NEWS.md. (0.1.9.15)
 Updated
pkgdown
GitHub action for using newer version of mermaid. (0.1.9.15)  Updated
pkgdown
website to use the new logo and color scheme. (0.1.9.16)  Modified more tests to accommodate a change in
lavaan
on handling random seed. (0.1.9.18)  No change to the main code. Added a few technical appendices as
pkgdown
articles, accessible through thepkgdown
website of the package. (0.1.9.19)  Updated the documentation of functions to state that they support
lavaan.mi
class objects. (0.1.9.20)
manymome 0.1.6
CRAN release: 20221106
New Features
Bootstrapping
 Added
lm2boot_out_parallel()
to do bootstrapping with the output oflm()
using parallel processing. This is the default whendo_boot()
is used on the outputs oflm()
. (0.1.4.4)  Added a print method for the output of
do_boot()
. (0.1.4.7)
Mediation
 Added
all_indirect_paths()
for identifying all indirect paths in a model. (0.1.4.5)  Added
many_indirect_effects()
for computing indirect effects for a list of paths. (0.1.4.5)  Added
total_indirect_effect()
for computing the total indirect effect between two variables. (0.1.4.5)
Bug Fixes
 Updated README.md with code for installing from CRAN. (0.1.4.1).
 Fixed a typo in README.md. (0.1.4.2)
 Fixed tests that should be done by
expect_equal
on numbers rather than on characters. No change in the functions. (0.1.4.3)  Noted in the vignettes that some new functions are not yet on the CRAN version and available in the GitHub version. (0.1.4.6)
 Fixed a bug in
merge_model_frame()
. (0.1.4.8)