Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Implements bootstrap methods for complex surveys, including the generalized survey bootstrap as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as described by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Version: | 0.6.4 |
Depends: | R (≥ 2.10) |
Imports: | DBI, Matrix, methods, mvtnorm, stats, survey (≥ 4.1), utils |
Suggests: | knitr, covr, testthat (≥ 3.0.0), rmarkdown, tidycensus, dplyr, srvyr, withr, sampling, prettydoc, RSQLite |
Published: | 2024-04-26 |
DOI: | 10.32614/CRAN.package.svrep |
Author: | Ben Schneider [aut, cre] |
Maintainer: | Ben Schneider <benjamin.julius.schneider at gmail.com> |
BugReports: | https://github.com/bschneidr/svrep/issues |
License: | GPL (≥ 3) |
URL: | https://bschneidr.github.io/svrep/, https://github.com/bschneidr/svrep |
NeedsCompilation: | no |
Citation: | svrep citation info |
Materials: | README NEWS |
In views: | OfficialStatistics |
CRAN checks: | svrep results |
Reference manual: | svrep.pdf |
Vignettes: |
Bootstrap Methods for Surveys Nonresponse Adjustments Calibrating to Estimated Control Totals Replication Methods for Two-phase Sampling |
Package source: | svrep_0.6.4.tar.gz |
Windows binaries: | r-devel: svrep_0.6.4.zip, r-release: svrep_0.6.4.zip, r-oldrel: svrep_0.6.4.zip |
macOS binaries: | r-release (arm64): svrep_0.6.4.tgz, r-oldrel (arm64): svrep_0.6.4.tgz, r-release (x86_64): svrep_0.6.4.tgz, r-oldrel (x86_64): svrep_0.6.4.tgz |
Old sources: | svrep archive |
Reverse imports: | nrba, sampcompR |
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