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 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 (Mariani et al. 2015) to obtain different alternatives that account for diversification in bipartite relations.

### Value

A list of two named numeric vectors.

### References

co <- complexity_measures(economiccomplexity_output$balassa_index) # partial view of indexes co$complexity_index_country[1:5]