variance_othstr
(Package: vardpoor) :
Variance estimation for sample surveys by the new stratification
Computes s2g and the variance estimation by the new stratification.
● Data Source:
CranContrib
● Keywords: vardpoor
● Alias: variance_othstr
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vardom
(Package: vardpoor) :
Variance estimation of the sample surveys in domain by the ultimate cluster method
Computes the variance estimation of the sample surveys in domain by the ultimate cluster method.
● Data Source:
CranContrib
● Keywords: vardpoor
● Alias: vardom
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vardchangespoor
(Package: vardpoor) :
Variance estimation for measures of change for sample surveys for indicators on social exclusion and poverty
Computes the variance estimation for measures of change for indicators on social exclusion and poverty.
● Data Source:
CranContrib
● Keywords: vardchanges
● Alias: vardchangespoor
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linarr
(Package: vardpoor) :
Linearization of the aggregate replacement ratio
Estimates the aggregate replacement ratio (defined as the gross median individual pension income of the population aged 65-74 relative to the gross median individual earnings from work of the population aged 50-59, excluding other social benefits) and computes linearized variable for variance estimation.
● Data Source:
CranContrib
● Keywords: Linearization
● Alias: linarr
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vardcros
(Package: vardpoor) :
Variance estimation for cross-sectional, longitudinal measures for single and multistage stage cluster sampling designs
Computes the variance estimation for cross-sectional and longitudinal measures for any stage cluster sampling designs.
● Data Source:
CranContrib
● Keywords: vardcros
● Alias: vardcros
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linpoormed
(Package: vardpoor) :
Linearization of the median income of individuals below the At Risk of Poverty Threshold
Estimation of the median income of individuals below At Risk of Poverty Threshold and computation of linearized variable for variance estimation. The At Risk of Poverty Threshold is estimated for the whole population always. The median income is estimated for the whole population or for each domain.
● Data Source:
CranContrib
● Keywords: Linearization
● Alias: linpoormed
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vardchanges
(Package: vardpoor) :
Variance estimation for measures of change for single and multistage stage cluster sampling designs
Computes the variance estimation for measures of change for single and multistage stage cluster sampling designs.
● Data Source:
CranContrib
● Keywords: vardchanges
● Alias: vardchanges
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varpoord
(Package: vardpoor) :
Estimation of the variance and deff for sample surveys for indicators on social exclusion and poverty
Computes the estimation of the variance for indicators on social exclusion and poverty.
● Data Source:
CranContrib
● Keywords: varpoord
● Alias: varpoord
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incPercentile
(Package: vardpoor) :
Estimation of weighted percentiles
The function computes the estimates of weighted percentiles.
● Data Source:
CranContrib
● Keywords: Linearization
● Alias: incPercentile
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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, 1953), variance estimation for longitudinal, cross - sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
● Data Source:
CranContrib
● Keywords: package
● Alias: vardpoor, vardpoor-package
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providing 
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