Issues with convergence for latent variable model in brms

[franzsf]

Have you already looked at resources like this?

Confirmatory Factor Analysis using brms

Hi all, Not a problem, more a little bit of helpful code. brms can already estimate latent variables using the mi() function for missing data. It can also constrain parameters to be constant. This, I think, provides all the means to fit rudimentary confirmatory factor analysis models. Simulation code below. library(tidyverse) library(brms) N <- 200 dta <- tibble( x = rnorm(N, 0, 1), y1 = rnorm(N, 2*x, 1), y2 = rnorm(N, 1*x, 1), y3 = rnorm(N, 0.5*x, 1), xo = as.numeri…

Scott Claessens | Latent Variable Modelling in brms