ctWideNames

number of manifest variables per time point in the data.

n.manifest

Maximum number of discrete time points (waves of data, or measurement occasions) 
for an individual in the input data structure.

Tpoints

number of time dependent predictors in the data structure.

n.TDpred

number of time independent predictors in the data structure.

n.TIpred

vector of character strings giving column names of manifest indicator variables

manifestNames

vector of character strings giving column names of time dependent predictor variables

TDpredNames

vector of character strings giving column names of time independent predictor variables

TIpredNames

ctWideNames
sets default column names for wide ctsem datasets. Primarily intended for internal ctsem usage.

Hierarchical continuous time state space modelling, for linear
and nonlinear systems measured by continuous variables, with limited support for
binary data. The subject specific dynamic system is modelled as a stochastic
differential equation (SDE), measurement models are typically multivariate normal factor models.
Using the original ctsem formulation based on OpenMx, described in the JSS paper
"Continuous Time Structural Equation Modeling with R Package ctsem", with updated version
as CRAN vignette <https://cran.r-project.org/web/packages/ctsem/vignettes/ctsem.pdf> ,
linear mixed effects SDE's estimated via maximum likelihood and optimization are possible.
Using the Stan based formulation, described in <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf> ,
nonlinearity (state dependent parameters) and random effects on all parameters
are possible, using either optimization (with optional importance sampling) or
Stan's Hamiltonian Monte Carlo sampling. Priors may be used. For the conceptual
overview of the hierarchical Bayesian linear SDE approach, see <https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>.
Exogenous inputs may also be included, for an overview of such possibilities see <https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models> .
Stan based functions are not available on 32 bit Windows systems at present.

ctWideNames: ctWideNames sets default column names for wide ctsem datasets. Primarily intended for internal ctsem usage.

Description

Usage

Arguments