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Quickly and flexibly calculates weights for survey data, in order to correct for survey non-response or other sampling issues. Uses rake weighting, a common technique also know as rim weighting or iterative proportional fitting. This technique allows for weighting on multiple variables, even when the interlocked distribution of the two variables is not known. Interacts with Thomas Lumley's 'survey' package, as described in Lumley, Thomas (2011, ISBN:978-1-118-21093-2). Adds additional functionality, more adaptable syntax, and error-checking to the base weighting functionality in 'survey.'
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.00) |
| Imports: | survey, gdata, stats |
| Suggests: | dplyr, srvyr, testthat, mice |
| Published: | 2022-05-03 |
| Author: | Ben Mainwaring [aut, cre] |
| Maintainer: | Ben Mainwaring <mainwaringb at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | svyweight results |
| Reference manual: | svyweight.pdf |
| Package source: | svyweight_0.1.0.tar.gz |
| Windows binaries: | r-devel: svyweight_0.1.0.zip, r-release: svyweight_0.1.0.zip, r-oldrel: svyweight_0.1.0.zip |
| macOS binaries: | r-release (arm64): svyweight_0.1.0.tgz, r-oldrel (arm64): svyweight_0.1.0.tgz, r-release (x86_64): svyweight_0.1.0.tgz, r-oldrel (x86_64): svyweight_0.1.0.tgz |
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