vardpoor (0.9.10)

Variance Estimation for Sample Surveys by the Ultimate Cluster Method.

https://csblatvia.github.io/vardpoor/
http://cran.r-project.org/web/packages/vardpoor

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, ). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.

Maintainer: Juris Breidaks
Author(s): Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]

License: GPL (>= 2)

Uses: data.table, foreach, gdata, laeken, MASS, plyr, stringr, surveyplanning
Reverse suggests: convey

Released about 1 month ago.