R package survey: analysis of complex survey samples. Summary statistics, two-sample tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. Predictive margins by direct standardization. PPS sampling without replacement. Principal components, factor analysis.

References in zbMATH (referenced in 50 articles , 1 standard article )

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  1. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  2. Olivia M. Bernstein, Brian G. Vegetabile, Christian R. Salazar, Joshua D. Grill, Daniel L. Gillen: Adjustment for Biased Sampling Using NHANES Derived Propensity Weights (2021) arXiv
  3. Frank, Anna-Simone J.; Matteson, David S.; Solvang, Hiroko K.; Lupattelli, Angela; Nordeng, Hedvig: Extending balance assessment for the generalized propensity score under multiple imputation (2020)
  4. Abdalla, Abdelbaset; Michael, Semhar: Finite mixture of regression models for a stratified sample (2019)
  5. Ackerman, Samuel: Consistency of survey opinions and external data (2019)
  6. Choi, Byeong Yeob; Wang, Chen-Pin; Michalek, Joel; Gelfond, Jonathan: Power comparison for propensity score methods (2019)
  7. da Silva, Natalia; Alvarez-Castro, Ignacio: Clicks and cliques: exploring the soul of the community (2019)
  8. Devaud, Denis; Tillé, Yves: Deville and Särndal’s calibration: revisiting a 25-years-old successful optimization problem (2019)
  9. Maciej J. Dańko: hopit: An R Package for Analysis of Reporting Behavior Using Generalized Ordered Probit Models (2019) not zbMATH
  10. Espuny-Pujol, Ferran; Morrissey, Karyn; Williamson, Paul: A global optimisation approach to range-restricted survey calibration (2018)
  11. Hannes Mühleisen; Alexander Bertram; Maarten-Jan Kallen: Database-Inspired Optimizations for Statistical Analysis (2018) not zbMATH
  12. Lenis, David; Ackerman, Benjamin; Stuart, Elizabeth A.: Measuring model misspecification: application to propensity score methods with complex survey data (2018)
  13. Penning de Vries, Bas B. L.; van Smeden, Maarten; Groenwold, Rolf H. H.: Propensity score estimation using classification and regression trees in the presence of missing covariate data (2018)
  14. Chen, Yuhui; Hanson, Timothy: Copula regression models for discrete and mixed bivariate responses (2017)
  15. Krautenbacher, Norbert; Theis, Fabian J.; Fuchs, Christiane: Correcting classifiers for sample selection bias in two-phase case-control studies (2017)
  16. Lumley, Thomas: Pseudo-(R^2) statistics under complex sampling (2017)
  17. Wei, Wei; Balabdaoui, Fadoua; Held, Leonhard: Calibration tests for multivariate Gaussian forecasts (2017)
  18. Alexander Kowarik; Matthias Templ: Imputation with the R Package VIM (2016) not zbMATH
  19. Davies, Gareth; Gillard, Jonathan; Zhigljavsky, Anatoly: Comparative study of different penalty functions and algorithms in survey calibration (2016)
  20. Isidro, Marissa; Haslett, Stephen; Jones, Geoff: Extended structure preserving estimation (ESPREE) for updating small area estimates of poverty (2016)

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