Package: economiccomplexity 2.0.0

Mauricio Vargas Sepulveda

economiccomplexity: Computational Methods for Economic Complexity

A wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.

Authors:Mauricio Vargas Sepulveda [aut, cre, cph], Carlo Bottai [ctb], Diego Kozlowski [ctb], Nico Pintar [rev], The World Bank [dtc], Open Trade Statistics [dtc]

economiccomplexity_2.0.0.tar.gz
economiccomplexity_2.0.0.tar.gz(r-4.5-noble)economiccomplexity_2.0.0.tar.gz(r-4.4-noble)
economiccomplexity_2.0.0.tgz(r-4.4-emscripten)economiccomplexity_2.0.0.tgz(r-4.3-emscripten)
economiccomplexity.pdf |economiccomplexity.html✨
economiccomplexity/json (API)

# Install 'economiccomplexity' in R:
install.packages('economiccomplexity', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pachadotdev/economiccomplexity/issues

Pkgdown site:https://pacha.dev

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

openblascppopenmp

2.00 score 1 stars 19 scripts 375 downloads 9 exports 14 dependencies

Last updated 18 days agofrom:8f5b7e4290. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linux-x86_64OKDec 13 2024

Exports:balassa_indexcomplexity_measurescomplexity_outlookdensitydistanceproductivity_levelsprojectionsproximityrca

Dependencies:clicpp11cpp11armadilloglueigraphlatticelifecyclemagrittrMatrixpkgconfigrbibutilsRdpackrlangvctrs

How To Use This Package

Mauricio Vargas

Rendered fromeconomiccomplexity.Rmdusingknitr::rmarkdownon Dec 13 2024.

Last update: 2024-12-13
Started: 2020-09-19