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.

Version:	1.4.0
Depends:	R (≥ 3.5)
Imports:	Matrix, igraph, Rdpack
Suggests:	testthat (≥ 2.1.0), knitr, ggraph, rmarkdown, covr
Published:	2022-09-04
Author:	Mauricio Vargas [aut, cre, cph], Carlo Bottai [ctb] (improved the eigenvalues calculation), Diego Kozlowski [ctb] (provided initial RCA function used up to v0.2.4), Nico Pintar [rev] (suggested improvements to special cases in eigenvalues calculation), The World Bank [dtc] (World GDP per capita dataset), Open Trade Statistics [dtc] (World Trade dataset)
Maintainer:	Mauricio Vargas <hello+r at pacha.dev>
BugReports:	https://github.com/pachadotdev/economiccomplexity/issues/
License:	GPL-3
URL:	https://pacha.dev/economiccomplexity/
NeedsCompilation:	no
CRAN checks:	economiccomplexity results

Documentation:

Reference manual:	economiccomplexity.pdf
Vignettes:	How To Use This Package

Downloads:

Package source:	economiccomplexity_1.4.0.tar.gz
Windows binaries:	r-devel: economiccomplexity_1.4.0.zip, r-release: economiccomplexity_1.4.0.zip, r-oldrel: economiccomplexity_1.4.0.zip
macOS binaries:	r-release (arm64): economiccomplexity_1.1.tgz, r-oldrel (arm64): economiccomplexity_1.1.tgz, r-release (x86_64): economiccomplexity_1.4.0.tgz, r-oldrel (x86_64): economiccomplexity_1.4.0.tgz
Old sources:	economiccomplexity archive

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