Tim Bates

Running fine here under > OpenMx version: 2.13.2.111 [GIT v2.13.2-111-gcf4f325] R version: R version 3.6.1 (2019-07-05) Platform: x86_64-apple-darwin15.6.0 MacOS: 10.14.6

can this be closed?

This would return y-hats for all manifest and latent variables Something that did [this](https://openmx.ssri.psu.edu//node/4393) generically (rather than a crafted model-specific function) would do ```R # 1. Get factor scores (...

Would be useful for OpenMx to be able to generated predicted outcomes from models. `predict` is a generic for predictions from the results of various model fitting functions. The basic...

note also this [forum thread](https://openmx.ssri.psu.edu/thread/2750) requesting `predict`, and noting that lavaan (as of some time ago at least) returned actual scores, not predicted scores on the manifests.

Is the answer to 1. Stop writing scripts that include the same objects multiple times (seems wise) 2. Detect redundant constraint objects and warn the user (seems helpful) 3. Develop...

I wonder if we should just leave users to control redundancy, just like we allow them to add more paths than they have df in a RAM model.

asks for base (not a parameter) setup ``` data(demoOneFactor) manifests

given two models in models, it asks for base ```R mxCompareMatrix(models= c(fit1,fit2)) Error in mxCompareMatrix(models = c(fit1, fit2)) : object 'base' not found ``` OK: this now works: ```R mxCompareMatrix(models=...

with version `2.9.9.304 [GIT v2.9.9-304-ga46f9c5]`, returns error: ``` mxCompareMatrix(models= c(fit1,fit2)) Error in mxCompareMatrix(models = c(fit1, fit2)) : Available statistics are: 'base', 'comparison', 'ep', 'minus2LL', 'df', 'AIC', 'diffLL', 'diffdf', and 'p'...