umx

"How much of a problem is this error when we run umXVersion(“umx”)?:
"Error in mxOption(model, "Default optimizer") : trying to get slot "options" from an object of a basic class ("character") with no slot?”


You should just run
umxVersion()

It is thinking that the first item you provide is a model, and tries to see what version you ran under.

By default, `umxRAM` labels paths using s simple "A_to_B" style.
To distinguish what group a path is in, simply add `suffix = ` to the `uxmRAM` call. This will add the suffix string to each path. (for one-off differences, just add the label manually inside `umxPath`).

so

```
m1 = umxRAM("firstGroup", data=data, suffix = "_group1",
umxPath(v.m. = c("A", "B")),
umxPath('A', with = 'B')
)
```
Would contain paths like "A_with_B_group1"

Simple question: How do I estimate an AE model using the `umxACE` function?

How does your umx handle categorical data? Does it handle ordinal and unordered categories in the same way and what estimator is it using?

There is a growing set of tutorials on using umx here

http://tbates.github.io

There's also a paper under review at Journal of Statistical Software, and you can get a pre-print here:

https://www.dropbox.com/s/fhyj8ps2cnfzu6m/bates.pdf?dl=1

you can install umx as with other packages on CRAN


install.packages("umx")
library("umx")


If you want the bleeding-edge version, install from github


devtools::install_github("tbates/umx")
library("umx")