{
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  "Package": "MPI",
  "Type": "Package",
  "Title": "Computation of Multidimensional Poverty Index (MPI)",
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  "Authors@R": "c(\nperson(given = \"Kittiya\",\nfamily = \"Kukiattikun\",\nrole = c(\"aut\", \"cre\"),\nemail = \"kittiya.contact@gmail.com\"),\nperson(given = \"Chainarong\",\nfamily = \"Chainarong\",\nrole = \"aut\",\nemail = \"grandca@gmail.com\"\n))",
  "Description": "Computing package for Multidimensional Poverty Index (MPI)\nusing Alkire-Foster method. Given N individuals, each person\nhas D indicators of deprivation, the package compute MPI value\nto represent the degree of poverty in a population. The inputs\nare 1) an N by D matrix, which has the element (i,j) represents\nwhether an individual i is deprived in an indicator j (1 is\ndeprived and 0 is not deprived), and 2) the deprivation\nthreshold.  The main output is the MPI value, which has the\nrange between zero and one. MPI value is approaching one if\nalmost all people are deprived in all indicators, and it is\napproaching zero if almost no people are deprived in any\nindicator.  Please see Alkire S., Chatterjee, M., Conconi, A.,\nSeth, S. and Ana Vaz (2014)\n<doi:10.35648/20.500.12413/11781/ii039> for The Alkire-Foster\nmethodology.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/9POINTEIGHT/MPI",
  "BugReports": "https://github.com/9POINTEIGHT/MPI/issues",
  "Encoding": "UTF-8",
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  "Packaged": {
    "Date": "2026-05-17 06:04:31 UTC",
    "User": "root"
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  "Author": "Kittiya Kukiattikun [aut, cre], Chainarong Chainarong [aut]",
  "Maintainer": "Kittiya Kukiattikun <kittiya.contact@gmail.com>",
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  "Repository": "https://faiarte.r-universe.dev",
  "Date/Publication": "2022-04-05 08:40:10 UTC",
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      "name": "examplePovertydf",
      "title": "A simulation poverty data frame",
      "object": "examplePovertydf",
      "class": [
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      "fields": [
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        "Access.to.clean.source.of.water",
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        "Electricity",
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