pkgdown site.
(0.1.4.1)The print method of the output
of lav_betaselect() has a column
to indicate whether a parameter is
unstandardized. (0.1.3.1)
The computation of the standardized solution with bootstrapping now supports parallel processing. (0.1.3.2)
lav_betaselect() can also compute
the "standardized" intercepts, though
in the same way lavaan does, by
dividing an intercept by the
standard deviation of the outcome
variable (the y variable). This
can be enabled by setting
std_intercept to TRUE (FALSE
by default). (0.1.2.1)lav_betaselect() will no longer
check whether variables involved in
a product term have been mean-centered
by default (but can still be enabled
if necessary).
The coefficient of the so-called
"main effect" term of these variables
will now be computed correctly even
without mean-centering. (0.1.2.1, 0.1.2.2)lav_betaselect() will not compute
the coefficients of covariances and
variances that involve a product term,
if the variables involved are not
mean-centered. Without mean-centering,
it is impossible to compute them if
the joint distribution of the variables
is not multivariate normal. (0.1.2.1)lav_betaselect(): The standardized
coefficients of the component
variables of a product term are
incorrect if mean-centering is not
done. For now, lav_betaselect() will
check whether they are mena-centered.
If not, it will raise an error and
suggest users to mean-center the
involved variables first. (0.1.1)