complexity_measures {economiccomplexity} | R Documentation |
Complexity Measures
Description
complexity_measures()
computes the Economic Complexity
Index and the Product Complexity Index.
Usage
complexity_measures(
balassa_index,
method = "fitness",
iterations = 20,
extremality = 1
)
Arguments
balassa_index |
(Type: dgCMatrix) the output from
|
method |
(Type: character) one of these methods: fitness,
reflections or eigenvalues. By default this is set to |
iterations |
(Type: numeric) the number of iterations to use.
By default this is set to |
extremality |
(Type: numeric) the parameter to use in the fitness
method. The other methods don't use this parameter.
By default this is set to |
Details
The current implementation follows (Mariani et al. 2015) to obtain different alternatives that account for diversification in bipartite relations.
Value
A list of two named numeric vectors.
References
For more information on this index see:
Mariani M, Vidmer A, Medo M, Zhang Y (2015). “Measuring economic complexity of countries and products: which metric to use?” The European Physical Journal B, 88(11), 293. doi:10.1140/epjb/e2015-60298-7.
and the references therein.
Examples
co <- complexity_measures(economiccomplexity_output$balassa_index)
# partial view of indexes
co$complexity_index_country[1:5]
co$complexity_index_product[1:5]