| fit_data {tsnet} | R Documentation |
Example Posterior Samples
Description
This dataset contains posterior samples of beta coefficients and partial correlations for two individuals. It was generated by fitting a GVAR model using [stan_gvar()] with three variables from the [ts_data] dataset.
Usage
data(fit_data)
Format
## 'fit_data' A list with two elements, each containing posterior samples for one individual.
Details
The list contains two elements, each containing posterior samples for one individual. The samples were extracted using the [stan_fit_convert()] function. For each individual, the list elements contain the posterior means of the beta coefficients ("beta_mu") and the posterior means of the partial correlations ("pcor_mu"). The "fit" element contains all 1000 posterior samples of the beta coefficients and partial correlations.
Source
The data is generated using the [stan_gvar()] function on subsets of the [ts_data] time series data.