ctWideNames

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

Hierarchical continuous (and discrete) 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) or difference equation, measurement models are typically multivariate normal factor models.
Linear mixed effects SDE's estimated via maximum likelihood and optimization are the default.
Nonlinearities, (state dependent parameters) and random effects on all parameters
are possible, using either max likelihood / max a posteriori optimization
(with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling.
See <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf>
for details. 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.
<https://cdriver.netlify.app/> contains some tutorial blog posts.

Charles Driver

ctsem

Continuous Time Structural Equation Modelling

Manuel Voelkle

Han Oud

Trustees of Columbia University 

ctWideNames function

<dl><dt>n.manifest</dt>
<dd>number of manifest variables per time point in the data.</dd>
<dt>Tpoints</dt>
<dd>Maximum number of discrete time points (waves of data, or measurement occasions) 
for an individual in the input data structure.</dd>
<dt>n.TDpred</dt>
<dd>number of time dependent predictors in the data structure.</dd>
<dt>n.TIpred</dt>
<dd>number of time independent predictors in the data structure.</dd>
<dt>manifestNames</dt>
<dd>vector of character strings giving column names of manifest indicator variables</dd>
<dt>TDpredNames</dt>
<dd>vector of character strings giving column names of time dependent predictor variables</dd>
<dt>TIpredNames</dt>
<dd>vector of character strings giving column names of time independent predictor variables</dd></dl>

Arguments

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

<dl>

<dt>n.manifest</dt>
<dd>number of manifest variables per time point in the data.</dd>


<dt>Tpoints</dt>
<dd>Maximum number of discrete time points (waves of data, or measurement occasions) 
for an individual in the input data structure.</dd>


<dt>n.TDpred</dt>
<dd>number of time dependent predictors in the data structure.</dd>


<dt>n.TIpred</dt>
<dd>number of time independent predictors in the data structure.</dd>


<dt>manifestNames</dt>
<dd>vector of character strings giving column names of manifest indicator variables</dd>


<dt>TDpredNames</dt>
<dd>vector of character strings giving column names of time dependent predictor variables</dd>


<dt>TIpredNames</dt>
<dd>vector of character strings giving column names of time independent predictor variables</dd>

</dl>

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

Description

Usage

Arguments