The blocked weighted bootstrap (BBW) is an estimation technique for use with data from two-stage cluster sampled surveys in which either prior weighting (e.g. population-proportional sampling or PPS as used in Standardized Monitoring and Assessment of Relief and Transitions or SMART surveys) or posterior weighting (e.g. as used in rapid assessment method or RAM and simple spatial sampling method or S3M surveys) is implemented. See Cameron et al (2008) <doi:10.1162/rest.90.3.414> for application of bootstrap to cluster samples. See Aaron et al (2016) <doi:10.1371/journal.pone.0163176> and Aaron et al (2016) <doi:10.1371/journal.pone.0162462> for application of the blocked weighted bootstrap to estimate indicators from two-stage cluster sampled surveys.
Version: 0.3.0 Depends: R (≥ 4.1.0) Imports: car, cli, doParallel, foreach, methods, parallel, parallelly, stats, stringr, withr Suggests: knitr, rmarkdown, testthat, spelling, covr Published: 2025-01-16 DOI: 10.32614/CRAN.package.bbw Author: Mark Myatt [aut, cph], Ernest Guevarra [aut, cre, cph] Maintainer: Ernest Guevarra <ernestgmd at gmail.com> BugReports: https://github.com/rapidsurveys/bbw/issues License: GPL-3 URL: https://github.com/rapidsurveys/bbw, https://rapidsurveys.io/bbw/ NeedsCompilation: no Language: en-GB Citation: bbw citation info Materials: README, NEWS CRAN checks: bbw results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=bbw to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4