Package index

data import

demo.eusilc()

Generate multiple years of EU-SILC data

bootstrapping and calibration

Functions to draw bootstrap samples and calibrate each sample accoring to population totals. The methods used in these function relate to a rescaled bootstrap as described in vignette("methodology").

ipf()

Iterative Proportional Fitting

draw.bootstrap()

Draw bootstrap replicates

rescaled.bootstrap()

Draw bootstrap replicates

generate.HHID()

Generate new houshold ID for survey data with rotating panel design taking into account split households

get.selection()

Get sample selection (~deltas) from drawn bootstrap replicates

recalib()

Calibrate weights

estimation of standard errors

Apply estimators to each sample to generate standard errors as well as confidence intervals. See vignette("error_estimation") for more details.

weightedRatio() weightedSum()

Weighted Point Estimates

calc.stError()

Calcualte point estimates and their standard errors using bootstrap weights.

plot(<surveysd>)

Plot surveysd-Objects

print(<surveysd>)

Print function for surveysd objects

utility functions

Misc helper functions that are used in or related to ipf().

ipf_step_ref() ipf_step() ipf_step_f() combine_factors()

Perform one step of iterative proportional updating

kishFactor()

Kish Factor

geometric_mean_reference()

Calculate mean by factors

computeLinear() computeLinearG1_old() computeLinearG1() computeFrac()

Numerical weighting functions

summary(<ipf>)

Generate Summary Output for IPF Calibration

print(<summary.ipf>)

Print method for IPF calibration summary