Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, 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 of individuals 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.org/10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Package: | vardpoor |
Version: | 0.15.0 |
Date: | 2019-04-04 |
Depends: | R (>= 3.2.3), data.table (>= 1.10.4), laeken, stringr |
Imports: | reshape, foreach, plyr, MASS, stats, utils, surveyplanning, ggplot2, pracma, graphics |
License: | GPL (>= 2) |
URL: | https://github.com/CSBLatvia/vardpoor/ |
BugReports: | https://github.com/CSBLatvia/vardpoor/issues/ |
Index:
domain Split data variables by domains incPercentile Weighted income percentile lin.ratio Linearization of the ratio estimator linarr Linearization of the aggregate replacement ratio linrmi Linearization of the relative median income ratio linarpr Linearization of the at-risk-of-poverty rate linarpt Linearization of the at-risk-of-poverty threshold lingini Linearization of the GINI coefficient I lingini2 Linearization of the GINI coefficient II lingpg Linearization of the gender pay (wage) gap linpoormed Linearization of the median income below the at-risk-of-poverty gap linqsr Linearization of the income quintile share ratio linrmpg Linearization of the relative median at-risk-of-poverty gap residual_est Residual estimation of calibration var_srs The estimation of the simple random sampling vardbootstr Variance estimation for measures of annual net change or annual for single stratified sampling designs vardannual Variance estimation for measures of annual net change or annual for single and multistage stage cluster sampling designs vardchanges Variance estimation for measures of change for single and multistage stage cluster sampling designs vardchangespoor Variance estimation for measures of change for sample surveys for indicators on social exclusion and poverty vardchangstrs Variance estimation for measures of change for stratified simple random sampling vardcros Variance estimation for cross-sectional and longitudinal measures for single and multistage stage cluster sampling designs vardcrospoor Variance estimation for cross-sectional, longitudinal measures for indicators on social exclusion and poverty vardom Estimation of the variance in domain by the ultimate cluster method vardom_othstr Variance estimation for sample surveys in domain using two stratification vardomh Variance estimation for sample surveys in domain for one or two stage surveys by the ultimate cluster method vardpoor-package Variance estimation for sample surveys by the ultimate cluster method ~~ package title ~~ variance_est Variance estimation for sample surveys by the ultimate cluster method variance_othstr Variance estimation for sample surveys by the new stratification varpoord Estimation of the variance and deff for sample surveys for indicators on social exclusion and poverty