ctmaGenData: ctmaGenData

In CoTiMA: Continuous Time Meta-Analysis ('CoTiMA')

ctmaGenData

Description

Generates data from lists of parameters (drift, diffusion etc). Experimental!!

Usage

ctmaGenData(
  activeDirectory = NULL,
  burnin = 0,
  cint = NULL,
  coresToUse = 2,
  ctmaExtract = FALSE,
  diff = NULL,
  digits = 4,
  doPar = FALSE,
  drift = NULL,
  empirical = TRUE,
  envir = NULL,
  sampleSizes = 100,
  lambda = NULL,
  latentNames = NULL,
  manifestMeans = NULL,
  manifestVars = NULL,
  manifestNames = NULL,
  missings = NULL,
  modValues = 0,
  n.latent = NULL,
  n.manifest = NULL,
  randomIntercepts = NULL,
  T0means = 0,
  T0var = NULL,
  TIpreds = NULL,
  tpoints = 10,
  tpointTargets = NULL,
  useRawData = NULL
)

Arguments

activeDirectory	defines active directory where files are saved. No default.
burnin	vector of initial time points to be deleted (default = 0)
cint	list of cint matrices. By default (NULL), cint matrices will be used that create a steady-state (i.e., means at all time points = T0means)
coresToUse	if neg., the value is subtracted from available cores, else value = cores to use.
ctmaExtract	if TRUE (default = FALSE) uses ctmaExtract to extract objects required for CoTiMA into the environment specified using the argument envir. Requires the argument useRawData to be set to TRUE or FALSE.
diff	list of diffusion matrices. By default (NULL), diffusion matrices will be used that create a steady-state (i.e., covariance at all time points = T0var)
digits	number of digits used for rounding (in outputs).
doPar	parallel generating of data. if TRUE, data are generated in coresToUse parallel loops during which no output is generated (screen remains silent).
drift	list of drift matrices. No default (all = NULL).
empirical	whether (default) or not generated data that should be independent as generally assumed (e.g., diffusions at different time points, T0var, etc) are truly independent. Allow for exact estimation of parameters (no random variance; not useful for MC simulations). May require large sample sizes.
envir	environment where objects should be extracted too. NULL by default. Typically one would use the global environment (envir = globalenv()). Has to be specified if ctmaExtract is set to TRUE.
sampleSizes	vector of sample sizes. Default = 100.
lambda	list of matrices. By default all are diagonal matrices with 1 in the diagonal.
latentNames	names for latent variables (default = NULL using generic names)
manifestMeans	list of manifest mean matrices. By default all are = 0.
manifestVars	list of manifest error (co-)variances matrices. By default all are = 0.
manifestNames	names for manifest variables (default = NULL using generic names)
missings	proportion of missings (default = 0, which does not delete any value)
modValues	list of moderator values (possible used to generate the list of drift matrices provided). By default all are = 0.
n.latent	number of latent variables of the model No default (all = NULL).
n.manifest	number of manifest variables of the model (if left empty it will assumed to be identical with n.latent).
randomIntercepts	list of (co-)variances matrices of TIpreds (traits). By default all are = 0.
T0means	list of Time 0 mean levels. By default all are = 0.
T0var	list of Time 0 (co-)variance matrices. No default (all = NULL).
TIpreds	list of time-independent predictors, e.g., the moderators that were used to create the drift matrices. No default (all = NULL).
tpoints	vector of number of tpoints to be generated (default = 10).
tpointTargets	list of vectors of tpoints to be selectd (default = burnin:tpoints).
useRawData	if TRUE (or FALSE) and ctmaExtract is also TRUE, creates rawData (or empcov) objects required for CoTiMA into the environment specified using the argument envir.

Value

ctmaGenData returns a list containing ...

Examples

# Fit a ctsem model to all three primary studies summarized in
# CoTiMAstudyList_3 and save the three fitted models
## Not run: 
CoTiMAInitFit_3 <- ctmaInit(primaryStudies=CoTiMAstudyList_3,
                            n.latent=2,
                            checkSingleStudyResults=FALSE,
                            activeDirectory="/Users/tmp/") # adapt!
summary(CoTiMAInitFit_3)

## End(Not run)

CoTiMA documentation built on July 20, 2026, 5:08 p.m.