Give Mplus files unique IDs, and add cleanup argument#174
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| generateRandomCharId <- function(n = 36) { | ||
| chars <- c(letters, LETTERS, as.character(0:9)) | ||
| paste0(sample(chars, size = n, replace = TRUE), collapse = "") |
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Because modsem_mplus() now calls this helper on every fit, sample() advances .Random.seed just to choose a scratch filename. In workflows that set a seed before fitting an Mplus model and then run simulations or Monte Carlo standardization afterward, the post-fit random draws silently change even though the model fit itself did not previously consume R RNG state; use a non-RNG temp name or restore the RNG state around this call.
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