Package: MPI 0.1.0

MPI: Computation of Multidimensional Poverty Index (MPI)

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) <doi:10.35648/20.500.12413/11781/ii039> for The Alkire-Foster methodology.

Authors:Kittiya Kukiattikun [aut, cre], Chainarong Chainarong [aut]

MPI_0.1.0.tar.gz
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MPI.pdf |MPI.html
MPI/json (API)
NEWS

# Install 'MPI' in R:
install.packages('MPI', repos = c('https://faiarte.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/9pointeight/mpi/issues

Datasets:

On CRAN:

2 exports 0.00 score 25 dependencies 12 scripts 362 downloads

Last updated 2 years agofrom:a0b585b3a5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winOKSep 07 2024
R-4.5-linuxOKSep 07 2024
R-4.4-winOKSep 07 2024
R-4.4-macOKSep 07 2024
R-4.3-winOKSep 07 2024
R-4.3-macOKSep 07 2024

Exports:AF_ParAF_Seq

Dependencies:clicodetoolscpp11doParalleldplyrfansiforeachgenericsglueiteratorslifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

MPI_demo

Rendered fromMPI_demo.Rmdusingknitr::knitron Sep 07 2024.

Last update: 2022-04-05
Started: 2022-04-05