gaussian_simulation_fit

<p>A <code>dynamitefit</code> object obtained by running <code>dynamite</code> with the
<code>"Fixed_param"</code> algorithm on the specified <code>inits</code> in the example.</p><pre><code>
set.seed(1)
library(dynamite)
gaussian_simulation_fit &lt;- dynamite(
  dformula = f,
  data = d,
  time = "time",
  group = "id",
  chains = 1,
  iter = 1,
  algorithm = "Fixed_param",
  init = list(init),
)
</code></pre>


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

gaussian_simulation_fit function

<p>A <code>dynamitefit</code> object.</p>

Format

Model Fit for the time-varying example in the dynamite_simulation Vignette — gaussian_simulation_fit

Model Fit for the time-varying example in the <code>dynamite_simulation</code> Vignette

gaussian_simulation_fit: Model Fit for the time-varying example in the `dynamite_simulation` Vignette

Description

Usage

Arguments

Format

See Also