bsts_spec_static {cbar}R Documentation

Specify bsts model for static linear regression

Description

Specify bsts model for static linear regression

Usage

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, ...)

Arguments

.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

Value

cbar.model.spec object for model specification


[Package cbar version 0.1.3 Index]