Function reference • 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
`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()` `computeFrac()`	Numerical weighting functions

Reference