Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs


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Documentation for package ‘surveysd’ version 1.3.1

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calc.stError Calcualte point estimates and their standard errors using bootstrap weights.
combine_factors Perform one step of iterative proportional updating
computeFrac Numerical weighting functions
computeLinear Numerical weighting functions
computeLinearG1 Numerical weighting functions
cpp_mean Calculate mean by factors
demo.eusilc Generate multiple years of EU-SILC data
draw.bootstrap Draw bootstrap replicates
generate.HHID Generate new houshold ID for survey data with rotating panel design taking into account split households
geometric_mean_reference Calculate mean by factors
ipf Iterative Proportional Fitting
ipf_step Perform one step of iterative proportional updating
ipf_step_f Perform one step of iterative proportional updating
ipf_step_ref Perform one step of iterative proportional updating
kishFactor Kish Factor
numericalWeighting Numerical weighting functions
plot.surveysd Plot surveysd-Objects
PointEstimates Weighted Point Estimates
print.surveysd Print function for surveysd objects
recalib Calibrate weights
rescaled.bootstrap Draw bootstrap replicates
weightedRatio Weighted Point Estimates
weightedSum Weighted Point Estimates