Installing umx (1-minute read)
I designed umx to be transparent and reproducible, to make basic work easy, and to make complex work manageable, so you can spend more time doing better science.
umx provides a compact set of functions to support four core tasks:
- Express theories in SEM models.
- Test competing theories.
- Maintain a reproducible workflow.
- Communicate results effectively.
umx also provides a wide range of twin models implementing these complex multi-group models as single function calls.
You can learn more about umx and twin modeling in Bates, Maes, & Neale, (2019). umx: Twin and Path-Based Structural Equation Modeling in R. Twin Res Hum Genet, 22, 27-41. doi:10.1017/thg.2019.2 open access.
Read below on installing umx, then on to the modeling!
Install umx like any other cran package. In R type:
install.packages("umx")
library("umx")
OK, now you’re ready for your first umx model!
Optional: For bleeding-edge beta testers
The development version of umx lives on github.
To install this version:
- If you don’t have it:
install.packages("devtools")
- Load devtools
library("devtools")
Instal umx:
install_github("tbates/umx")
library("umx")
On windows you might need
install_github("tbates/umx", args = "--no-multiarch")