Summary statistics, two-sample tests, rank 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. PPS sampling without replacement.
Version: | 4.1-1 |
Depends: | R (≥ 3.5.0), grid, methods, Matrix, survival |
Imports: | stats, graphics, splines, lattice, minqa, numDeriv, mitools (≥ 2.4) |
Suggests: | foreign, MASS, KernSmooth, hexbin, RSQLite, quantreg, parallel, CompQuadForm, DBI, AER |
Published: | 2021-07-19 |
Author: | Thomas Lumley |
Maintainer: | "Thomas Lumley" <t.lumley at auckland.ac.nz> |
License: | GPL-2 | GPL-3 |
URL: | http://r-survey.r-forge.r-project.org/survey/ |
NeedsCompilation: | no |
Citation: | survey citation info |
Materials: | NEWS |
In views: | OfficialStatistics, Survival |
CRAN checks: | survey results |
Reference manual: | survey.pdf |
Vignettes: |
Estimates in subpopulations Two-phase designs in epidemiology Analysing PPS designs Quantile rules A survey analysis example |
Package source: | survey_4.1-1.tar.gz |
Windows binaries: | r-devel: survey_4.1-1.zip, r-release: survey_4.1-1.zip, r-oldrel: survey_4.1-1.zip |
macOS binaries: | r-release (arm64): survey_4.1-1.tgz, r-oldrel (arm64): survey_4.1-1.tgz, r-release (x86_64): survey_4.1-1.tgz, r-oldrel (x86_64): survey_4.1-1.tgz |
Old sources: | survey archive |
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