standardizedPosterior: Standardized Posterior

In blavaan: Bayesian Latent Variable Analysis

Standardized Posterior

Description

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()

Value

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

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.

Examples

## Not run: 
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)

## End(Not run)

blavaan documentation built on Sept. 11, 2024, 8:37 p.m.