mpitbR: A Toolbox for Calculating Multidimensional Poverty Indices in R

# Install the package from CRAN
install.packages("mpitbR")

# Install the latest version of the package from Github
devtools::install_github("girelaignacio/mpitbR")

# Here we use the same synthetic household survey-like dataset from the Stata package example
data <- subset(syn_cdta)
data <- na.omit(data)

# Define the survey structure
svydata <- survey::svydesign(id=~psu, weights = ~weight, strata = ~stratum, data = data)

# mpitb set command
  # First we define the indicators with their dimensions names (d1,d2,d3) as a list 
indicators <- list(d1 = c("d_nutr","d_cm"),
                   d2 = c("d_satt","d_educ"),
                   d3 = c("d_elct","d_sani","d_wtr","d_hsg","d_ckfl","d_asst"))
  # Set the multidimensional poverty measurement project
set <- mpitb.set(svydata, indicators = indicators, name = "myname", desc = "pref. desc")

# mpitb est command
  # Estimate! 
est <- mpitb.est(set, c(20, 33), over = c("area","region"), 
                 tvar = "t", cotyear = "year")

@Manual{mpitbRpkg,
    title = {mpitbR: Calculate Alkire-Foster Multidimensional Poverty Measures},
    author = {Ignacio Girela},
    year = {2024},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=mpitbR},
  }