Gallery of Example Models!
This gallery will hold example models as we build them. To learn about installing umx, or take a basic tutorial, start at the [home page](https://tbates.github.io).
note: This page expresses the goal for umx’s coverage of core copy-and-paste model templates. Goal deadline to have it completed by end 2021.
Basic path-based models in umx
- umxPath
umxPathto make Cholesky paths
Exploratory and Confirmatory Factor Analysis (CFA)
- ✓ Factor analysis with
umxFactanal - ✓ Factor scores with
umxFactanal - ✓ CFA with one or more factors with
umxRAM - ✓ CFA with ordinal data (automatic in
umxRAM) - ✓ Joint ordinal/continuous CFA (automatic in
umxRAM)
SEM, indirect effects, mediation analysis
- Regression with structural equation models
- Ordinal regression
- Mediation
- Moderation
Measurement models and Psychometrics
- Measurement invariance
Multiple groups
Growth and change
Modeling different types of Data correctly
- ✓ Raw data: supported in
umxRAMand all twin Models - ✓ Weighted least squares: supported in
umxRAMand all twin Models - ✓ Polychoric correlations:
umx_polychoricandumxHetCor - ✓ Continuous variables: supported in
umxRAMand all twin Models - ✓ Ordinal variables: supported in
umxRAMand all twin Models - ✓ Joint ordinal & continuous variables: supported in
umxRAMand all twin Models
Modeling predictors, effects, definition variables, weights, missingness correctly
- Extracting means, covariances, and thresholds
- Definition variables
- ✓ Sample weights: handled in
umxACEand other twin models - Censoring
How do I simulate data, or do a power analysis?
Wrangling data: scaling, renaming, residualizing etc.
- ✓ Scaling Data with
umxScale - ✓ Renaming Data:
umx_rename - ✓ Residualizing Data with
umx_residualise, including twin data. - ✓ Wide 2 long and long 2 wide with
umx_long2wideandumx_wide2long
Twin Models
- ACE / ADE
- ✓
umxACEv - ✓ Common pathway
umxCP - ✓ Independent pathway
umxIP - ✓ Sex limitation inc. multivariate with
umxSexlim - ✓ GxE interaction with
umxGxE,umxGxEbiv, andumxGxEwindow - ✓ Simplex:
umxSimplex - ✓ Direction of causation:
umxDoc
Optimizers
- ✓ Full Information Maximum Likelihood
- ✓ Weighted least squares
Parameter estimates and fit statistics
- Goodness-of-fit
- ✓ Using
mxSEto get standard errors of functions of free parameters - ✓ Using
umxCIfor profile likelihood confidence intervals - Factor Scores
- Modification indices with umxMI
- Bootstrap Likelihood ratio tests
How do I add covariates, different intervals for growth…
- Age
How to pick starting values
- ✓ Let
umxdo it - Use
mxAutoStart