Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, atriskofpoverty rate, atriskofpoverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below atriskofpoverty gap, income quintile share ratio, relative median atriskofpoverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, crosssectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015,
Package details 


Author  Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut] 
Date of publication  20170707 16:05:45 UTC 
Maintainer  Juris Breidaks <Juris.Breidaks@csb.gov.lv> 
License  GPL (>= 2) 
Version  0.9.6 
URL  https://csblatvia.github.io/vardpoor/ 
Package repository  View on CRAN 
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