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apportion

Compute Apportionments

https://github.com/christopherkenny/apportion

Science Score: 23.0%

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.7%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Compute Apportionments

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 3 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# apportion 



[![R-CMD-check](https://github.com/christopherkenny/apportion/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/christopherkenny/apportion/actions/workflows/R-CMD-check.yaml)


`apportion` provides different apportionment methods for allocating seats across states. These methods are also sometimes used for allocating seats by votes in proportional representation systems.

## Installation

You can install the development version of `apportion` like so:

``` r
remotes::install_github('christopherkenny/apportion')
```

## Example

`apportion` has several apportionment methods, each of which take two required arguments:
- `size`: the number of seats to apportion across units
- `pop`: a vector of population sizes for each unit

```{r example}
library(apportion)
## basic example code
data('state_2020')

app_adams(size = 435, pop = state_2020$pop)
```

Implemented methods include:

- the Adams Method (`app_adams()`)
- the Balinski Young Method (`app_balinski_young()`)
- the Dean Method (`app_dean()`)
- the D'Hondt Method (`app_dhondt()`)
- the Hamilton-Vinton Method (`app_hamilton_vinton()`)
- the Huntington-Hill Method (`app_huntington_hill()`)
- the Jefferson Method (`app_jefferson()`)
- the Webster Method (`app_webster()`)

Owner

  • Name: Christopher T. Kenny
  • Login: christopherkenny
  • Kind: user
  • Location: Cambridge, MA
  • Company: Harvard University

Redistricting and rstats. Harvard University, PhD Candidate, Department of Government. Cornell '19.

GitHub Events

Total
  • Release event: 1
  • Watch event: 1
  • Push event: 3
Last Year
  • Release event: 1
  • Watch event: 1
  • Push event: 3

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 9
  • Total Committers: 1
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Christopher Kenny c****4@c****u 9
Committer Domains (Top 20 + Academic)
cornell.edu: 1

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 228 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: apportion

Apportion Seats

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 228 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Average: 34.2%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Downloads: 42.0%
Maintainers (1)
christopherkenny@fas.harvard.edu
Last synced: 11 months ago