Package: vardpoor
Type: Package
Title: Variance Estimation for Sample Surveys by the Ultimate Cluster
        Method
Version: 0.9.10
Date: 2017-09-22
Depends: R (>= 3.2.3), data.table (>= 1.10.4), laeken, stringr
Imports: foreach, plyr, gdata, MASS, stats, utils, surveyplanning
Authors@R: c(person("Juris", "Breidaks", email = "Juris.Breidaks@csb.gov.lv", role = c("aut", "cre")),
             person("Martins", "Liberts", role = "aut"),
             person("Santa", "Ivanova", role = "aut"))
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>
Description: Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty 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, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
License: GPL (>= 2)
Encoding: latin1
Repository: CRAN
URL: https://csblatvia.github.io/vardpoor/
BugReports: https://github.com/CSBLatvia/vardpoor/issues/
NeedsCompilation: yes
Packaged: 2017-09-25 07:04:15 UTC; jbreidaks
Author: Juris Breidaks [aut, cre],
  Martins Liberts [aut],
  Santa Ivanova [aut]
Date/Publication: 2017-09-25 07:35:38 UTC
