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EVAL_DEFAULT <- FALSE knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = EVAL_DEFAULT )
library(modsem)
If you're using one of the product indicator approaches, you might want to use some lavaan
functions on top of the estimated lavaan-object.
To do so you can extract the lavaan-object using the extract_lavaan()
function.
library(lavaan) m1 <- ' # Outer Model X =~ x1 + x2 + x3 Y =~ y1 + y2 + y3 Z =~ z1 + z2 + z3 # Inner model Y ~ X + Z + X:Z ' est <- modsem(m1, oneInt) lav_object <- extract_lavaan(est) bootstrap <- bootstrapLavaan(lav_object, R = 500)
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