Summary statistics, generalised linear 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 designs. Graphics.
| Version: | 3.10 |
| Depends: | R (≥ 2.2.0) |
| Suggests: | survival, MASS, KernSmooth, hexbin, mitools, lattice, RSQLite, RODBC, quantreg, splines |
| Author: | Thomas Lumley |
| Maintainer: | Thomas Lumley <tlumley at u.washington.edu> |
| License: | GPL-2 | GPL-3 |
| URL: | http://faculty.washington.edu/tlumley/survey/ |
| In views: | SocialSciences |
| CRAN checks: | survey results |
Downloads:
| Package source: | survey_3.10.tar.gz |
| MacOS X binary: | survey_3.9-1.tgz |
| Windows binary: | survey_3.10.zip |
| Reference manual: | survey.pdf |
| Vignettes: |
Estimates in subpopulations Two-phase designs in epidemiology Some details on two-phase variances A survey analysis example |
| News/ChangeLog: | NEWS |
| Old sources: | survey archive |