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umxRAM2Ordinal: Convert a RAM model whose data contain ordinal variables to a threshold-based model
umxRAM2Ordinal(model, verbose = T, thresholds = c("deviationBased", "direct", "ignore", "left_censored"), name = NULL, showEstimates = TRUE, refModels = NULL, autoRun = getOption("umx_auto_run"))
An RAM model to add thresholds too.
Tell the user what was added and why (Default = TRUE)
How to implement thresholds: c("deviationBased", "direct", "ignore", "left_censored")
= A new name for the modified model (NULL means leave it as it)
= Whether to show estimates in the summary (if autoRun) TRUE
pass in reference models if available. Use FALSE to suppress computing these if not provided.
= whether to run the model before returning it: defaults to getOption("umx_auto_run"))
- mxModel
mxModel
- umxRAM
umxRAM
Other Advanced Model Building Functions: umxJiggle, umxLabel, umxThresholdMatrix, umxValues, umx_fix_first_loadings, umx_fix_latents, umx
umxJiggle
umxLabel
umxThresholdMatrix
umxValues
umx_fix_first_loadings
umx_fix_latents
umx
# NOT RUN { m1 = umxRAM2Ordinal(model) # }
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