Package index • surveysd

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 a ipf calibration