Standardized Posterior

Standardized posterior distribution of a latent variable model.

Usage

standardizedPosterior(object, ...)

Arguments

object

An object of class blavaan.

...

Additional arguments passed to lavaan's standardizedSolution()

Note

The only allowed standardizedSolution() arguments are type, cov.std, remove.eq, remove.ineq, and remove.def. Other arguments are not immediately suited to posterior distributions.

Value

A matrix containing standardized posterior draws, where rows are draws and columns are parameters.

Examples

if (FALSE) {
data(PoliticalDemocracy, package = "lavaan")

model <- ' 
  # latent variable definitions
     ind60 =~ x1 + x2 + x3
     dem60 =~ y1 + a*y2 + b*y3 + c*y4
     dem65 =~ y5 + a*y6 + b*y7 + c*y8

  # regressions
    dem60 ~ ind60
    dem65 ~ ind60 + dem60

  # residual correlations
    y1 ~~ y5
    y2 ~~ y4 + y6
    y3 ~~ y7
    y4 ~~ y8
    y6 ~~ y8
'

fit <- bsem(model, data = PoliticalDemocracy,
            dp = dpriors(nu = "normal(5, 10)"))

standardizedPosterior(fit)
}