Friendly & Fast Input-Output Analysis 
fio (Friendly Input-Output) is a R package designed for input-output analysis, emphasizing usability for Excel users and performance. It includes an RStudio Addin and a suite of functions for straightforward import of input-output tables from Excel, either programmatically or directly from the clipboard.
The package is optimized for speed and efficiency. It leverages the R6 class for clean, memory-efficient object-oriented programming. Furthermore, all linear algebra computations are implemented in Rust to achieve highly optimized performance.
Installation
CRAN Release
You can install the latest stable release of {fio} from CRAN with:
install.packages("fio")Latest Tested version
install the latest tested but unreleased version from the main branch, use the precompiled binaries available on R-universe:
install.packages("fio", repos = c("https://albersonmiranda.r-universe.dev", "https://cloud.r-project.org"))Development version
For the cutting-edge development version from the dev branch, you’ll need to compile it from source. This requires Rust to be installed on your system. You can install Rust using the following commands:
- Debian/Ubuntu:
apt-get install cargo - Fedora/CentOS:
dnf install cargo - macOS:
brew install rustc - Windows: https://www.rust-lang.org/tools/install
Getting Started
If you are just getting started with fio, we recommend you to read the vignettes for a comprehensive overview of the package.
Examples
Calculate Leontief’s inverse from brazilian 2020 input-output matrix:
# load included dataset
iom_br <- fio::br_2020
# calculate technical coefficients matrix
iom_br$compute_tech_coeff()
# calculate Leontief's inverse
iom_br$compute_leontief_inverse()And pronto! 🎉, you’re all good to carry on with your analysis. You can evoke the Data Viewer to inspect the results with iom_br$technical_coefficients_matrix |> View() and iom_br$leontief_inverse_matrix |> View().
Leontief’s inverse from brazilian 2020 input-output matrix
