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MPI
View on CRAN: Click
here
Download and install MPI package within the R console
Install from CRAN:
install.packages("MPI")
Install from Github:
library("remotes")
install_github("cran/MPI")
Install by package version:
library("remotes")
install_version("MPI", "0.1.0")
Attach the package and use:
library("MPI")
Maintained by
Kittiya Kukiattikun
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-05
Latest Update: 2022-04-05
Description:
Computing package for Multidimensional Poverty Index (MPI) using Alkire-Foster method. Given N individuals, each person has D indicators of deprivation, the package compute MPI value to represent the degree of poverty in a population. The inputs are 1) an N by D matrix, which has the element (i,j) represents whether an individual i is deprived in an indicator j (1 is deprived and 0 is not deprived), and 2) the deprivation threshold. The main output is the MPI value, which has the range between zero and one. MPI value is approaching one if almost all people are deprived in all indicators, and it is approaching zero if almost no people are deprived in any indicator. Please see Alkire S., Chatterjee, M., Conconi, A., Seth, S. and Ana Vaz (2014) for The Alkire-Foster methodology.
How to cite:
Kittiya Kukiattikun (2022). MPI: Computation of Multidimensional Poverty Index (MPI). R package version 0.1.0, https://cran.r-project.org/web/packages/MPI
Previous versions and publish date:
No previous versions
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Functions, R codes and Examples using
the MPI R package
Some associated functions: AF_Par . AF_Seq . examplePovertydf .
Some associated R codes: AF_Par.R . AF_Seq.R . data.R . global_var.R . namspaceimport.R . prepare_var.R . Full MPI package functions and examples
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