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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.
pool_var
for pooled regressions.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.Any scripts or data that you put into this service are public.
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