Description Usage Arguments Examples
This function allows you to run a variety of Bayesian (hierarchical) models on WIOD data and key statistics to unearth persistent statistical patterns across time and countries
1 | fit_wiod(statistic, levels_id_vector = 0, model, pooling)
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statistic |
this is the data |
levels_id_vector |
is the vector that shows which subsample a particular observation belongs to |
model |
is the type of model you want to run, choose from normal, lognormal, gamma, Weibull and exponential |
pooling |
is the level of pooling desired, choose from complete, partial or none |
1 | sample examples here
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