Package: mdepriv 0.0.7

Attilio Benini

mdepriv: Synthetic Indicators of Multiple Deprivation

mdepriv is a R-adaptation of a same-named user-written Stata command for computing basic synthetic scores of multiple deprivation.

Authors:Attilio Benini [aut, cre], Aldo Benini [aut]

mdepriv_0.0.7.tar.gz
mdepriv_0.0.7.zip(r-4.7-any)mdepriv_0.0.7.zip(r-4.6-any)mdepriv_0.0.7.zip(r-4.5-any)
mdepriv_0.0.7.tgz(r-4.6-any)mdepriv_0.0.7.tgz(r-4.5-any)
mdepriv_0.0.7.tar.gz(r-4.7-any)mdepriv_0.0.7.tar.gz(r-4.6-any)
mdepriv_0.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mdepriv/json (API)

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

Bug tracker:https://github.com/a-benini/mdepriv/issues

Pkgdown/docs site:https://a-benini.github.io

Datasets:
  • MSNA_HC - Data Related to Living Standards in Host Communities Adjacent to the Rohingya Refugee Camps in Bangladesh, 2018
  • simul_data - Demonstration Dataset

On CRAN:

Conda:

4.35 score 4 stars 14 scripts 2 exports 5 dependencies

Last updated from:e7fb695978. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK150
source / vignettesOK197
linux-releaseOK128
macos-releaseOK113
macos-oldrelOK89
windows-develOK80
windows-releaseOK79
windows-oldrelOK79
wasm-releaseOK123

Exports:corr_matmdepriv

Dependencies:minqamnormtRcppRcppArmadillowCorr

Get Started with mdepriv
Introduction | Requirements | A Minimalist Start | What mdepriv Can Return | Grouping Items as Dimensions | Sampling Weights | Standard Methods | Specification of the Betti-Verma Double Weighting | Flexible Double Weighting Schemes beyond Betti-Verma | Expertise-Based Weights for Items | Check the Weighting Scheme | Obtaining the Scores | Two-Level Deprivation Model | Handling Missing Values | Multiple Models in a data.frame | Acknowledgement | References

Last update: 2024-01-15
Started: 2020-01-10

What is different from Stata's mdepriv?
References

Last update: 2021-06-04
Started: 2020-01-10