(All major changes after 0.1.7.1)
plotmod()
. It now correctly handles more
than two levels when w_method
is set
to"percentile"
. (0.1.7.2, 0.1.7.3)(All major changes after 0.1.5)
plotmod()
for plotting moderation effects. This
function will check whether a variable is standardized. If yes, will
note this in the plot.plotmod()
can also plot a Tumble graph (Bodner, 2016)
if graph_type
is set to "tumble"
.plotmod()
instead of
visreg::visreg()
.cond_effect()
for computing conditional effects.
This function will check which variable(s) is/are standardized. If yes,
will note this in the printout.cond_effect_boot()
, a wrapper of
cond_effect()
that can form nonparametric bootstrap
confidence intervals for the conditional effects, which may be partially
or completely standardized.std_selected()
and std_selected_boot()
.stdmod_lavaan()
now returns an object of the class
stdmod_lavaan
, with methods print, confint, and coef
added.std_selected_boot()
output. Bootstrap confidence intervals
are placed next to parameter estimates.vcov()
method for std_selected()
output. If bootstrapping is used, it can return the variance-covariance
matrix of the bootstrap estimates.confint()
method for std_selected()
output. If bootstrapping is used, it can return the bootstrap percentile
confidence intervals if requested.std_selected()
.