economiccomplexity (version 1.5.0)

complexity_measures: 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
)

Value

A list of two named numeric vectors.

Arguments

balassa_index

(Type: dgCMatrix) the output from balassa_index()) or an equivalent arrangement.

method

(Type: character) one of these methods: fitness, reflections or eigenvalues. By default this is set to "fitness".

iterations

(Type: numeric) the number of iterations to use. By default this is set to 20.

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 1.

Details

The current implementation follows measuringcomplexity2015economiccomplexity to obtain different alternatives that account for diversification in bipartite relations.

References

For more information on this index see:

measuringcomplexity2015economiccomplexity

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]