categorical_example

A simulated data containing multiple individuals with two categorical
response variables.

datasets

Easy-to-use and efficient interface for
Bayesian inference of complex panel (time series) data using dynamic
multivariate panel models by Helske and Tikka (2024)
<doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of
multiple measurements per individual, time-varying and time-invariant
effects, and a wide range of discrete and continuous distributions.
Estimation of these dynamic multivariate panel models is carried out via
'Stan'. For an in-depth tutorial of the package, see
(Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.

Santtu Tikka

dynamite

Bayesian Modeling and Causal Inference for Multivariate
Longitudinal Data

Jouni Helske

Nicholas Clark

Lucy D'Agostino McGowan

categorical_example function

A data frame with 2000 rows and 5 variables:<dl>
<dt>id</dt>
<dd>Variable defining individuals (1 to 100).</dd><dt>time</dt>
<dd>Variable defining the time point of the measurement (1 to 20).</dd><dt>x</dt>
<dd>Categorical variable with three levels, A, B, and C.</dd><dt>y</dt>
<dd>Categorical variable with three levels, a, b, and c.</dd><dt>z</dt>
<dd>A continuous covariate.</dd>
</dl>

Format

Simulated Categorical Multivariate Panel Data — categorical_example

A data frame with 2000 rows and 5 variables:<dl>
<dt>id</dt>
<dd>Variable defining individuals (1 to 100).</dd>

<dt>time</dt>
<dd>Variable defining the time point of the measurement (1 to 20).</dd>

<dt>x</dt>
<dd>Categorical variable with three levels, A, B, and C.</dd>

<dt>y</dt>
<dd>Categorical variable with three levels, a, b, and c.</dd>

<dt>z</dt>
<dd>A continuous covariate.</dd>


</dl>

categorical_example: Simulated Categorical Multivariate Panel Data

Description

Usage

Arguments

Format

See Also