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surveycore - Core Survey Analysis Infrastructure

A modern, 'S7'-based foundation for survey analysis spanning both probability and non-probability samples. Probability sample designs include Taylor series linearization, replicate weights (BRR, Fay, jackknife, bootstrap), and two-phase estimation, following 'Lumley' (2004) <doi:10.18637/jss.v009.i08>. Non-probability sample designs support bootstrap and jackknife variance estimation for opt-in panels and convenience samples. Provides a unified estimator interface for means, frequencies, totals, quantiles, ratios, correlations, regression, and t-tests, with weighted 'polychoric' and 'polyserial' correlation following 'Mannan' (2025) <doi:10.2139/ssrn.6580480>. A metadata system preserves 'haven'-style variable labels, value labels, and question-preface attributes through all operations. Uses a 'tidyselect' interface throughout.

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dataresearsurvey-analysis

5.96 score 1 stars 1 dependents 17 scripts 320 downloads

surveytidy - Tidy 'dplyr'/'tidyr' Verbs for Survey Design Objects

Provides 'dplyr' and 'tidyr' verbs, survey-aware recoding helpers, and row-wise statistics for survey design objects created with the 'surveycore' package. filter() uses domain estimation to preserve variance estimation validity; other verbs preserve design variables and metadata automatically. Also supports survey_collection objects for applying the same operation across a list of surveys.

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data-cleaningsurvey-analysis

3.60 score 1 scripts 357 downloads