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Indicator  

Composite 'Indicator' Construction and Imputation Data
View on CRAN: Click here


Download and install Indicator package within the R console
Install from CRAN:
install.packages("Indicator")

Install from Github:
library("remotes")
install_github("cran/Indicator")

Install by package version:
library("remotes")
install_version("Indicator", "0.1.2")



Attach the package and use:
library("Indicator")
Maintained by
Gianmarco Borrata
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-06
Latest Update: 2024-06-06
Description:
Different functions includes constructing composite indicators, imputing missing data, and evaluating imputation techniques. Additionally, different tools for data normalization. Detailed methodologies of'Indicator' package are: 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' <doi:10.1007/s11205-017-1577-5> and De Muro P., Mazziotta M., Pareto A. (2011), 'Composite Indicesof Development and Poverty: An Application to MDGs' <doi:10.1007/s11205-010-9727-z>.
How to cite:
Gianmarco Borrata (2024). Indicator: Composite 'Indicator' Construction and Imputation Data. R package version 0.1.2, https://cran.r-project.org/web/packages/Indicator. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.1 (2024-06-06 18:50)
Other packages that cited Indicator R package
View Indicator citation profile
Other R packages that Indicator depends, imports, suggests or enhances
Complete documentation for Indicator
Functions, R codes and Examples using the Indicator R package
Full Indicator package functions and examples
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