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

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

## Documentation for package ‘surveysd’ version 2.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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
computeLinearG1_old | 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
get.selection | Get sample selection (~deltas) from drawn bootstrap replicates
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.summary.ipf | Print method for IPF calibration summary
print.surveysd | Print function for surveysd objects
recalib | Calibrate weights
rescaled.bootstrap | Draw bootstrap replicates
summary.ipf | Generate Summary Output for IPF Calibration
weightedRatio | Weighted Point Estimates
weightedSum | Weighted Point Estimates