# Model Fit for the Simulated Data of a Gaussian Response

Source:`R/dynamite-package.R`

`gaussian_example_fit.Rd`

A `dynamitefit`

object obtained by running `dynamite`

on the
`gaussian_example`

dataset as

```
set.seed(1)
library(dynamite)
gaussian_example_fit <- 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
)
```

Note the very small number of samples due to size restrictions on CRAN.

## Source

The data was generated via `gaussian_example_fit.R`

in
https://github.com/ropensci/dynamite/tree/main/data-raw/