Function reference • convey

All functions
`contrastinf()`	Generalized linearization of a smooth function of survey statistics
`convey_prep()`	prepare svydesign and svyrep.design objects for the convey package
`densfun()`	Estimate the derivative of the cdf function using kernel estimator
`h_fun()`	Computes the bandwidth needed to compute the derivative of the cdf function
`icdf()`	Linearization of the cumulative distribution function (cdf) of a variable
`svyarpr()`	At-risk-of-poverty rate
`svyarpt()`	At-risk-of-poverty threshold
`svyatk()`	Atkinson index
`svyfgt()`	FGT measure of poverty
`svyfgtdec()`	FGT indices decomposition (EXPERIMENTAL)
`svygei()`	Generalized entropy index
`svygeidec()`	Generalized Entropy Index Decomposition
`svygini()`	Gini coefficient
`svygpg()`	Linearization of the gender pay (wage) gap
`svyiqalpha()`	Linearization of a variable quantile
`svyisq()`	Linearization of the total below a quantile
`svyjdiv()`	J-divergence measure
`svyjdivdec()`	J-Divergence Decomposition
`svylorenz()`	Lorenz curve
`svypoormed()`	Relative median poverty gap
`svyqsr()`	Quintile Share Ratio
`svyrich()`	Richness measures
`svyrmir()`	Relative median income ratio
`svyrmpg()`	Relative median poverty gap
`svywatts()`	Watts measure of poverty
`svywattsdec()`	Watts poverty index decomposition
`svyzenga()`	Zenga index

Reference