bsts_spec_static: Specify bsts model for static linear regression
In cbar: Contextual Bayesian Anomaly Detection in R

Specify bsts model for static linear regression

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bsts_spec_static(.data, sigma_guess = NULL, upper_limit = NULL,
  sd_prior_sample_size = 32, expected_model_size = 3, expected_r2 = 0.8,
  prior_df = 50, niter = 1000, ping = 0, model_options = NULL, ...)

`.data`	time-series data to be trained
`sigma_guess`	an argument for `bsts::bsts`
`upper_limit`	an argument for `bsts::bsts`
`sd_prior_sample_size`	an argument for `bsts::bsts`
`expected_model_size`	an argument for `bsts::bsts`
`expected_r2`	an argument for `bsts::bsts`
`prior_df`	an argument for `bsts::bsts`
`niter`	an argument for `bsts::bsts`
`ping`	an argument for `bsts::bsts`
`model_options`	an argument for `bsts::bsts`
`...`	params for `bsts_model`