Function reference • pipster

All functions

as_pip(): Convert to PIP format and add class

identify_pip_type(): Identify PIP type

pip_gd: pip_gd

pip_id: pip_id

pip_md: pip_md

pip_md_s: pip_md_s

pipgd_gini(): Compute Gini coefficient

pipgd_lorenz_curve(): Lorenz curve

pipgd_mld(): Compute MLD

pipgd_params(): Get Group Data Parameters

pipgd_pov_gap(): Estimate poverty gap (FGT1)

pipgd_pov_headcount(): Estimate poverty headcount (FGT0)

pipgd_pov_severity(): Estimate poverty severity

pipgd_quantile(): Get quantile at specified shared of population - grouped data

pipgd_quantile_welfare_share(): Quantile welfare share

pipgd_select_lorenz(): Get selected Lorenz curve for distributional stats

pipgd_validate_lorenz(): Check validity of Lorenz Curve

pipgd_watts(): Estimate Watts poverty index

pipgd_welfare_share_at(): Welfare share by quantile in group data

pipmd_gini(): Gini coefficient

pipmd_mld(): Mean Log Deviation

pipmd_polarization(): Wolfson polarization index

pipmd_pov_gap(): Calculate poverty gap from microdata

pipmd_pov_headcount(): Calculate poverty headcount from microdata

pipmd_pov_severity(): Calculate poverty severity from microdata

pipmd_quantile(): Get quantile at specified shared of population - micro data

pipmd_quantile_welfare_share(): Quantile welfare share

pipmd_watts(): Calculate Watts index from microdata

pipmd_welfare_share_at(): Welfare share by quantile in micro data

.datatable.aware: pipster: Poverty and Inequality methodology of WB methodology

return_format_md(): Return data according to format - microdata