ctsemOMX: ctsemOMX

Description Details References

Description

ctsem is an R package for continuous time structural equation modelling of panel (N > 1) and time series (N = 1) data, using either a frequentist or Bayesian approach, or middle ground forms like maximum a posteriori. This ctsemOMX addition includes the original OpenMx based functions which have been split off from the main package.

Details

The general workflow begins by specifying a model using the ctModel function, in which the type of model is also specified. Then the model is fit to data using either ctFit if the original 'omx' (OpenMx, SEM, max likelihood) model is specified. The omx forms are no longer in development and for most purposes, the newer stan based forms (contained in the base ctsem package) are more robust and flexible. For citation info, please run citation('ctsem') .

References

https://www.jstatsoft.org/article/view/v077i05

Driver, C. C., & Voelkle, M. C. (2018). Hierarchical Bayesian continuous time dynamic modeling. Psychological Methods. Advance online publication.http://dx.doi.org/10.1037/met0000168


cdriveraus/ctsemOMX documentation built on Dec. 19, 2021, 2:51 p.m.