Survey

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 45 articles , 1 standard article )

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  1. Abdalla, Abdelbaset; Michael, Semhar: Finite mixture of regression models for a stratified sample (2019)
  2. Ackerman, Samuel: Consistency of survey opinions and external data (2019)
  3. Choi, Byeong Yeob; Wang, Chen-Pin; Michalek, Joel; Gelfond, Jonathan: Power comparison for propensity score methods (2019)
  4. da Silva, Natalia; Alvarez-Castro, Ignacio: Clicks and cliques: exploring the soul of the community (2019)
  5. Devaud, Denis; Tillé, Yves: Deville and Särndal’s calibration: revisiting a 25-years-old successful optimization problem (2019)
  6. Maciej J. Dańko: hopit: An R Package for Analysis of Reporting Behavior Using Generalized Ordered Probit Models (2019) not zbMATH
  7. Espuny-Pujol, Ferran; Morrissey, Karyn; Williamson, Paul: A global optimisation approach to range-restricted survey calibration (2018)
  8. Hannes Mühleisen; Alexander Bertram; Maarten-Jan Kallen: Database-Inspired Optimizations for Statistical Analysis (2018) not zbMATH
  9. Lenis, David; Ackerman, Benjamin; Stuart, Elizabeth A.: Measuring model misspecification: application to propensity score methods with complex survey data (2018)
  10. 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)
  11. Chen, Yuhui; Hanson, Timothy: Copula regression models for discrete and mixed bivariate responses (2017)
  12. Lumley, Thomas: Pseudo-(R^2) statistics under complex sampling (2017)
  13. Wei, Wei; Balabdaoui, Fadoua; Held, Leonhard: Calibration tests for multivariate Gaussian forecasts (2017)
  14. Alexander Kowarik; Matthias Templ: Imputation with the R Package VIM (2016) not zbMATH
  15. Davies, Gareth; Gillard, Jonathan; Zhigljavsky, Anatoly: Comparative study of different penalty functions and algorithms in survey calibration (2016)
  16. Isidro, Marissa; Haslett, Stephen; Jones, Geoff: Extended structure preserving estimation (ESPREE) for updating small area estimates of poverty (2016)
  17. Mashreghi, Zeinab; Haziza, David; Léger, Christian: A survey of bootstrap methods in finite population sampling (2016)
  18. Ozturk, Omer; Turkmen, Asuman: Quantile inference based on clustered data (2016)
  19. Si, Yajuan; Reiter, Jerome P.; Hillygus, D. Sunshine: Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples (2016)
  20. Breslow, Norman E.; Hu, Jie; Wellner, Jon A.: Z-estimation and stratified samples: application to survival models (2015)

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