ctsem: ctStanGenerate – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

ctStanGenerate

Generate data from a ctstanmodel object

Generate data from a ctstanmodel object

ctStanGenerate(
  cts,
  datastruct = NA,
  is = FALSE,
  fullposterior = TRUE,
  nsamples = 200,
  parsonly = FALSE,
  cores = 2
)

`cts`	`ctStanModel` , or `ctStanFit`,object.
`datastruct`	long format data structure as used by ctsem. Not used if ctm is a ctStanFit object.
`is`	If optimizing, follow up with importance sampling?
`fullposterior`	Generate from the full posterior or just the (unconstrained) mean?
`nsamples`	How many samples to generate?
`parsonly`	If TRUE, only return samples of raw parameters, don't generate data.
`cores`	Number of cpu cores to use.

List contining Y, and array of nsamples by data rows by manifest variables, and llrow, an array of nsamples by data rows log likelihoods.

#generate and plot samples from prior predictive
priorpred <- ctStanGenerate(cts = ctstantestfit,cores=2,nsamples = 50)

Continuous Time Structural Equation Modelling

v3.4.3

GPL-3

Authors

Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph], Trustees of Columbia University [cph]

Initial release

2021-04-20