multichannel_example

A simulated multichannel data containing multiple individuals with multiple
response variables of different distributions.

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

multichannel_example function

A data frame with 3000 rows and 5 variables:<dl>
<dt>id</dt>
<dd>Variable defining individuals (1 to 50).</dd><dt>time</dt>
<dd>Variable defining the time point of the measurement (1 to 20).</dd><dt>g</dt>
<dd>Response variable following gaussian distribution.</dd><dt>p</dt>
<dd>Response variable following Poisson distribution.</dd><dt>b</dt>
<dd>Response variable following Bernoulli distribution.</dd>
</dl>

Format

Simulated Multivariate Panel Data — multichannel_example

A data frame with 3000 rows and 5 variables:<dl>
<dt>id</dt>
<dd>Variable defining individuals (1 to 50).</dd>

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

<dt>g</dt>
<dd>Response variable following gaussian distribution.</dd>

<dt>p</dt>
<dd>Response variable following Poisson distribution.</dd>

<dt>b</dt>
<dd>Response variable following Bernoulli distribution.</dd>


</dl>

multichannel_example: Simulated Multivariate Panel Data

Description

Usage

Arguments

Format

See Also