ctGenerateFromPriors: Generate data from a ctstanmodel object

In ctsem: Continuous Time Structural Equation Modelling

Generate data from a ctstanmodel object

Description

Generate data from a ctstanmodel object

Backward-compatible alias for ctGenerateFromPriors.

Usage

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

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

Arguments

cts	ctModelConvertOMX, ctModel, or ctStanFit object.
datastruct	long format data structure as used by ctsem. Not used if cts 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.

Value

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

Examples

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

ctsem documentation built on June 30, 2026, 5:07 p.m.