doi:10.1016/j.jpubeco.2010.11.006>. This includes the calculation of standard errors and confidence intervals. Other partial indices such as incidence, intensity and indicator-specific measures as well as intertemporal changes analysis can also be estimated. The standard errors and confidence intervals are calculated considering the complex survey design.">

mpitbR: Calculate Alkire-Foster Multidimensional Poverty Measures (original) (raw)

Estimate Multidimensional Poverty Indices disaggregated by population subgroups based on the Alkire and Foster method (2011) <doi:10.1016/j.jpubeco.2010.11.006>. This includes the calculation of standard errors and confidence intervals. Other partial indices such as incidence, intensity and indicator-specific measures as well as intertemporal changes analysis can also be estimated. The standard errors and confidence intervals are calculated considering the complex survey design.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: purrr, stats, survey
Suggests: gridExtra, knitr, parallel, rmarkdown, scales, stringi, tidyverse
Published: 2025-02-11
DOI: 10.32614/CRAN.package.mpitbR
Author: Ignacio Girela ORCID iD [aut, cre, cph], CONICET [fnd]
Maintainer: Ignacio Girela <ignacio.girela at unc.edu.ar>
BugReports: https://github.com/girelaignacio/mpitbR/issues
License: GPL (≥ 3)
URL: https://github.com/girelaignacio/mpitbR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: mpitbR results

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