ctsem-package: ctsem
In ctsem: Continuous Time Structural Equation Modelling
ctsem-package R Documentation
ctsem
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.
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
ctStanFit. The ctFit function which allows for fitting using the OpenMx / SEM form,
as described in the original JSS ctsem paper, can now be found in the ctsemOMX package.
The omx forms are no longer in
development and for most purposes, the newer stan based forms are more robust and flexible.
For examples, see ctStanFit.
For citation info, please run citation('ctsem') .
Author(s)
Maintainer: Charles Driver charles.driver2@uzh.ch [copyright holder]
Authors:
Manuel Voelkle [copyright holder]
Han Oud [copyright holder]
Other contributors:
Trustees of Columbia University [copyright holder]
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
Stan Development Team (2018). RStan: the R interface to Stan. R package version 2.17.3. http://mc-stan.org
#' @keywords internal
See Also
Useful links:
ctsem documentation built on Sept. 11, 2024, 9:06 p.m.
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| ctsem-package | R Documentation |
ctsem
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.
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
ctStanFit. The ctFit function which allows for fitting using the OpenMx / SEM form,
as described in the original JSS ctsem paper, can now be found in the ctsemOMX package.
The omx forms are no longer in
development and for most purposes, the newer stan based forms are more robust and flexible.
For examples, see ctStanFit.
For citation info, please run citation('ctsem') .
Author(s)
Maintainer: Charles Driver charles.driver2@uzh.ch [copyright holder]
Authors:
Manuel Voelkle [copyright holder]
Han Oud [copyright holder]
Other contributors:
Trustees of Columbia University [copyright holder]
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
Stan Development Team (2018). RStan: the R interface to Stan. R package version 2.17.3. http://mc-stan.org
#' @keywords internal
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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