Summary statistics, 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.
| Version: | 3.19 |
| Depends: | R (≥ 2.2.0) |
| Suggests: | survival, MASS, KernSmooth, hexbin, mitools, lattice, RSQLite, RODBC, quantreg, splines, Matrix, multicore |
| Enhances: | odfWeave.survey |
| Published: | 2010-01-20 |
| Author: | Thomas Lumley |
| Maintainer: | Thomas Lumley <tlumley at u.washington.edu> |
| License: | GPL-2 | GPL-3 |
| URL: | http://faculty.washington.edu/tlumley/survey/ |
| Citation: | survey citation info |
| In views: | SocialSciences, Survival |
| CRAN checks: | survey results |
| Package source: | survey_3.19.tar.gz |
| MacOS X binary: | survey_3.19.tgz |
| Windows binary: | survey_3.19.zip |
| Reference manual: | survey.pdf |
| Vignettes: |
Estimates in subpopulations Two-phase designs in epidemiology Obsolete formulas for two-phase variances Analysing PPS designs A survey analysis example |
| News/ChangeLog: | NEWS |
| Old sources: | survey archive |
| Reverse depends: | ICS, MNM, SDaA, odfWeave.survey, relaimpo, surveyNG, twang |
| Reverse suggests: | Zelig |