Package: surveysd 2.0.3

Johannes Gussenbauer

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

Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.

Authors:Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut], Eileen Vattheuer [aut], Gregor de Cillia [aut], Matthias Till [ctb]

surveysd_2.0.3.tar.gz
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surveysd_2.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
surveysd/json (API)

# Install 'surveysd' in R:
install.packages('surveysd', repos = c('https://statistikat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/statistikat/surveysd/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bootstraperror-estimationsurveycpp

8.06 score 10 stars 82 scripts 516 downloads 19 exports 22 dependencies

Last updated from:f72a87a747. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK212
linux-devel-x86_64OK201
source / vignettesOK260
linux-release-arm64OK211
linux-release-x86_64OK198
macos-release-arm64OK155
macos-release-x86_64OK302
macos-oldrel-arm64OK177
macos-oldrel-x86_64OK327
windows-develOK183
windows-releaseOK138
windows-oldrelOK203
wasm-releaseOK115

Exports:calc.stErrorcombine_factorscomputeFraccomputeLinearcomputeLinearG1computeLinearG1_olddemo.eusilcdraw.bootstrapgenerate.HHIDget.selectionipfipf_stepipf_step_fipf_step_refkishFactorrecalibrescaled.bootstrapweightedRatioweightedSum

Dependencies:bootclicpp11data.tablefarverggplot2gluegtableisobandlabelinglaekenlifecycleMASSR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr

Error estimation
Prerequisites | Estimator functions | Custom estimators | Adjust variable depending on bootstrap weights | Multiple estimators | Grouping | Several grouping variables | Option 1: All regions and all genders | Option 2: All combinations of region and gender | Option 3: Cobination of Option 1 and Option 2 | Group differences | Differences between survey periods | Averages across periods
Rendered fromerror_estimation.Rmdusingknitr::rmarkdown

Last update: 2026-06-11
Started: 2018-10-15

Iterative Proportional Fitting
Setup | One constraint, one variable | One constraint, two variables | Two constraints | Household Constraints | Tolerances | References
Rendered fromipf.Rmdusingknitr::rmarkdown

Last update: 2026-06-11
Started: 2020-01-20

Methodology
Bootstrapping | Rescaled Bootstrap | Sampling design | Bootstrap procedure | Single PSUs | Taking bootstrap replicates forward | Split households | Uncalibrated bootstrap weights | Iterative proportional fitting (IPF) | Adjustment and trimming for $\mathcal{P}$ | Averaging weights within households | Adjustment and trimming for $\mathcal{H}$ | Convergence | Variance estimation | References
Rendered frommethodology.Rmdusingknitr::rmarkdown

Last update: 2026-06-11
Started: 2018-10-15

Rao-Wu Bootstrap in surveysd
Mathematical Formulation | Use of Rao-Wu | Single PSUs | Example Implementation | Load Dataset | Draw bootstrap replicates | Calibrate bootstrap replicates
Rendered fromraowu.Rmdusingknitr::rmarkdown

Last update: 2026-06-11
Started: 2025-07-31

Introduction to surveysd
Load dummy data | Draw bootstrap replicates | Calibrate bootstrap replicates | Estimate with respect to a grouping variable | Estimate with respect to several variables
Rendered fromsurveysd.Rmdusingknitr::rmarkdown

Last update: 2026-06-11
Started: 2018-10-15