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fio

Friendly & Fast Input-Output Matrix Analysis in R, written in Rust.

https://github.com/albersonmiranda/fio

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (21.3%) to scientific vocabulary

Keywords

economics r r-package rstats

Keywords from Contributors

cycles routing projection interactive stack serializer packaging charts network-simulation shellcodes
Last synced: 10 months ago · JSON representation

Repository

Friendly & Fast Input-Output Matrix Analysis in R, written in Rust.

Basic Info
Statistics
  • Stars: 12
  • Watchers: 1
  • Forks: 2
  • Open Issues: 10
  • Releases: 5
Topics
economics r r-package rstats
Created about 2 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License

README.Rmd 

---
output:
  github_document:
    html_preview: false
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-"
)
```

# {fio}


Friendly & Fast Input-Output Analysis 


[![CRAN status](https://www.r-pkg.org/badges/version/fio)](https://CRAN.R-project.org/package=fio)
[![R-universe](https://albersonmiranda.r-universe.dev/badges/fio)](https://albersonmiranda.r-universe.dev/fio)
[![R-CMD-check](https://github.com/albersonmiranda/fio/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/albersonmiranda/fio/actions/workflows/R-CMD-check.yaml)
[![Codecov test coverage](https://codecov.io/gh/albersonmiranda/fio/branch/main/graph/badge.svg)](https://app.codecov.io/gh/albersonmiranda/fio?branch=main)
[![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/fio)](https://CRAN.R-project.org/package=fio)


`{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](https://rstudio.github.io/rstudioaddins/) 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](https://r6.r-lib.org/) for clean, memory-efficient object-oriented programming. Furthermore, all linear algebra computations are implemented in [Rust](https://www.rust-lang.org/) to achieve highly optimized performance.

## Installation

### CRAN Release

You can install the latest stable release of {fio} from CRAN with:

```r
install.packages("fio")
```

### Latest tested version

 install the latest tested but unreleased version from the [main branch](https://github.com/albersonmiranda/fio/tree/main), use the precompiled binaries available on [R-universe](https://albersonmiranda.r-universe.dev/fio):

```r
install.packages("fio", repos = c("https://albersonmiranda.r-universe.dev", "https://cloud.r-project.org"))
```

### Development version

For the cutting-edge development branches from Github, you'll need to compile it from source. This requires [Rust](https://www.rust-lang.org/) to be installed on your system. You can install Rust using the following commands:

- Debian/Ubuntu: `sudo apt install cargo`
- Fedora/CentOS: `sudo dnf install cargo`
- macOS: `brew install rust`
- 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](https://albersonmiranda.github.io/fio/articles/index.html) for a comprehensive overview of the package.

## Examples

Calculate Leontief's inverse from brazilian 2020 input-output matrix:

```{r example}
# 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! `r emoji::emoji("tada")`, 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()`.

![](man/figures/example_leontief_inverse.png)
*Leontief's inverse from brazilian 2020 input-output matrix*

## Related tools

Other great tools for input-output analysis in R include:

- [{leontief}](https://pachamaltese.github.io/leontief/)
- [{ioanalysis}](https://cran.r-project.org/package=ioanalysis)

Owner

  • Name: Alberson Miranda
  • Login: albersonmiranda
  • Kind: user
  • Location: Vitória, Brazil
  • Company: Banestes SA

Economist, M.Sc student in Economics (UFES) & math undergrad student (IFES)

GitHub Events

Total
  • Create event: 28
  • Release event: 3
  • Issues event: 20
  • Watch event: 3
  • Delete event: 25
  • Issue comment event: 19
  • Push event: 100
  • Pull request event: 51
  • Fork event: 1
Last Year
  • Create event: 28
  • Release event: 3
  • Issues event: 20
  • Watch event: 3
  • Delete event: 25
  • Issue comment event: 19
  • Push event: 100
  • Pull request event: 51
  • Fork event: 1

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 283
  • Total Committers: 4
  • Avg Commits per committer: 70.75
  • Development Distribution Score (DDS): 0.067
Past Year
  • Commits: 283
  • Committers: 4
  • Avg Commits per committer: 70.75
  • Development Distribution Score (DDS): 0.067
Top Committers
Name Email Commits
Alberson Miranda a****a@h****m 264
Alberson Miranda 4****a 14
dependabot[bot] 4****] 3
Josiah Parry j****y@g****m 2

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 55
  • Total pull requests: 172
  • Average time to close issues: 8 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 4
  • Total pull request authors: 4
  • Average comments per issue: 0.33
  • Average comments per pull request: 0.17
  • Merged pull requests: 131
  • Bot issues: 0
  • Bot pull requests: 28
Past Year
  • Issues: 20
  • Pull requests: 68
  • Average time to close issues: 10 days
  • Average time to close pull requests: 3 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.15
  • Average comments per pull request: 0.29
  • Merged pull requests: 37
  • Bot issues: 0
  • Bot pull requests: 28
View more stats
Top Authors
Issue Authors
  • albersonmiranda (52)
  • eddelbuettel (1)
  • JosiahParry (1)
  • christophe-gouel (1)
Pull Request Authors
  • albersonmiranda (141)
  • dependabot[bot] (28)
  • JosiahParry (2)
  • Copilot (1)
Top Labels
Issue Labels
enhancement (19) documentation (11) bug (4)
Pull Request Labels
dependencies (28) rust (14)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 22,064 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: fio

Friendly Input-Output Analysis

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 22,064 Last month
Rankings
Dependent packages count: 28.4%
Dependent repos count: 35.0%
Average: 50.1%
Downloads: 86.7%
Maintainers (1)
albersonmiranda@hotmail.com
Last synced: 11 months ago

Dependencies

src/rust/Cargo.lock cargo
  • approx 0.5.1
  • autocfg 1.3.0
  • bytemuck 1.16.0
  • extendr-api 0.6.0
  • extendr-macros 0.6.0
  • libR-sys 0.6.0
  • matrixmultiply 0.3.8
  • nalgebra 0.32.5
  • nalgebra-macros 0.2.1
  • num-complex 0.4.6
  • num-integer 0.1.46
  • num-rational 0.4.2
  • num-traits 0.2.19
  • once_cell 1.19.0
  • paste 1.0.15
  • proc-macro2 1.0.85
  • quote 1.0.36
  • rawpointer 0.2.1
  • safe_arch 0.7.1
  • simba 0.8.1
  • syn 1.0.109
  • syn 2.0.66
  • typenum 1.17.0
  • unicode-ident 1.0.12
  • wide 0.7.21
src/rust/Cargo.toml cargo
DESCRIPTION cran
  • R >= 2.10 depends
  • clipr * imports
  • emoji * imports
  • fs * imports
  • miniUI * imports
  • readxl * imports
  • rlang * imports
  • shiny * imports
  • knitr * suggests
  • rmarkdown * suggests
  • spelling * suggests