linea 0.1.1

In version 0.1.1 major adjustments have been implemented. Core functions have been simplified so that inputs do not need to be passed to functions repeatedly. Instead, these are contained in the output object (i.e. the model object). Further more, functions have been added to cover supporting features linked to pooled regression and lm()’s offset.

• Amends:
  • The meta_data input has been dropped as redundant. The functions now only rely on pool_var for pooled regressions.
  • The data object passed to run_model() is stored in the output object.
  • run_model()’s output_model_table now includes the regression’s VIF.
  • build_formula() now allows for fixed coefficients.
  • The google trends wrapper gt_f() fails gracefully.
• Functions:
  • filter_decomp_pool()
  • add_total_pool()
  • add_total_pool_to_data()
• Features:
  • decomping() allows to measure tails of decomposition over time.