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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)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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