Science Score: 26.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
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  • DOI references
    Found 3 DOI reference(s) in README
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  • Scientific vocabulary similarity
    Low similarity (9.4%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: GianmarcoBorrata
  • Language: R
  • Default Branch: main
  • Size: 45.9 KB
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  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog

README.Rmd

---
output: github_document
---
# Indicator Package

The Indicator package is a versatile tool designed for constructing composite indicators, imputing missing data, evaluating imputation results, and normalizing data. It offers a range of functions to streamline the process of handling complex datasets, making it an essential resource for researchers, analysts, and data scientists.

# Key Features

- **Composite Indicator Construction**: Implement various composite indicators such as the Mazziotta-Pareto Index, Adjusted Mazziotta-Pareto Index, Geometric aggregation, Linear aggregation, and more.
- **Missing Data Imputation**: Utilize techniques like Linear Regression Imputation, Hot Deck Imputation, etc., to fill in missing values effectively.
- **Evaluation Metrics**: Assess the quality of missing data imputation using metrics like R^2, RMSE, and MAE for informed decision-making.
- **Data Normalization**: Standardize and normalize data using methods like Standardization by Adjusted Mazziotta-Pareto method, Normalization by Adjusted Mazziotta-Pareto method, and others.

# Installation

You can install the Indicator package from CRAN using:
https://CRAN.R-project.org/package=Indicator 


# install.packages("devtools")
devtools::install_github("GianmarcoBorrata/Indicator")



# References

- OECD/European Union/EC-JRC (2008), "Handbook on Constructing Composite Indicators: Methodology and User Guide", OECD Publishing, Paris, DOI:10.1787/533411815016
- Matteo Mazziotta & Adriano Pareto (2018), "Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices", Social Indicators Research, Springer, vol. 136(3), pages 967-976, April, DOI:10.1007/s11205-017-1577-5
- De Muro P., Mazziotta M., Pareto A. (2011), "Composite Indices of Development and Poverty: An Application to MDGs", Social Indicators Research, Volume 104, Number 1, pp. 1-18, DOI:10.1007/s11205-010-9727-z



Owner

  • Login: GianmarcoBorrata
  • Kind: user

GitHub Events

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Last Year
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 217 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: Indicator

Composite 'Indicator' Construction and Imputation Data

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 217 Last month
Rankings
Dependent packages count: 28.8%
Dependent repos count: 35.4%
Average: 49.9%
Downloads: 85.6%
Maintainers (1)
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.0 depends
  • FactoMineR * imports
  • missMethods * imports
  • norm * imports
  • stats * imports
  • spelling * suggests