gaussian_example_fit

A <code>dynamitefit</code> object obtained by running <code>dynamite</code> on the
<code>gaussian_example</code> dataset as<pre><code>
set.seed(1)
library(dynamite)
gaussian_example_fit &lt;- dynamite(
 obs(y ~ -1 + z + varying(~ x + lag(y)) + random(~1), family = "gaussian") +
 random_spec() + splines(df = 20),
 data = gaussian_example,
 time = "time",
 group = "id",
 iter = 2000,
 warmup = 1000,
 thin = 10,
 chains = 2,
 cores = 2,
 refresh = 0,
 save_warmup = FALSE,
 pars = c("omega_alpha_1_y", "omega_raw_alpha_y", "nu_raw", "nu", "L",
 "sigma_nu", "a_y"),
 include = FALSE
)
</code></pre>Note the very small number of samples due to size restrictions on CRAN.

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_example_fit function

A <code>dynamitefit</code> object.

Format

Model Fit for the Simulated Data of a Gaussian Response — gaussian_example_fit

Model Fit for the Simulated Data of a Gaussian Response

gaussian_example_fit: Model Fit for the Simulated Data of a Gaussian Response

Description

Usage

Arguments

Format

See Also