vardpoor

Variance Estimation for Sample Surveys by the Ultimate Cluster Method

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.

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Package
vardpoor
Type
Package
Title
Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Version
0.12.0
Date
2018-09-23
Depends
R (>= 3.2.3), data.table (>= 1.10.4), laeken, stringr, ggplot2, pracma, graphics
Imports
foreach, plyr, MASS, stats, utils, surveyplanning
Maintainer
Juris Breidaks
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, ). 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
BugReports
https://github.com/CSBLatvia/vardpoor/issues/
NeedsCompilation
yes
Packaged
2018-09-20 09:15:36 UTC; JBreidaks
Author
Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Date/Publication
2018-09-20 09:30:03 UTC

install.packages('vardpoor')

0.12.0

2 months ago

https://csblatvia.github.io/vardpoor/

Juris Breidaks

GPL (>= 2)

Depends on

R (>= 3.2.3), data.table (>= 1.10.4), laeken, stringr, ggplot2, pracma, graphics

Imports

foreach, plyr, MASS, stats, utils, surveyplanning

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