Package: bbw Type: Package Title: Blocked Weighted Bootstrap Version: 0.3.1.9000 Authors@R: c( person("Mark", "Myatt", comment = c(ORCID = "0000-0003-1119-1474"), email = "mark@brixtonhealth.com", role = c("aut", "cph")), person("Ernest", "Guevarra", comment = c(ORCID = "0000-0002-4887-4415"), email = "ernestgmd@gmail.com", role = c("aut", "cre", "cph"))) Description: 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) for application of bootstrap to cluster samples. See Aaron et al (2016) and Aaron et al (2016) for application of the blocked weighted bootstrap to estimate indicators from two-stage cluster sampled surveys. License: GPL-3 Depends: R (>= 4.2.0) Imports: car, cli, doParallel, foreach, methods, parallel, parallelly, stats, stringr, withr Suggests: knitr, rmarkdown, testthat, spelling, covr Encoding: UTF-8 Language: en-GB LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 URL: https://github.com/rapidsurveys/bbw, https://rapidsurveys.io/bbw/ BugReports: https://github.com/rapidsurveys/bbw/issues VignetteBuilder: knitr Config/pak/sysreqs: cmake make libicu-dev Repository: https://rapidsurveys.r-universe.dev Date/Publication: 2026-01-21 08:43:53 UTC RemoteUrl: https://github.com/rapidsurveys/bbw RemoteRef: HEAD RemoteSha: b9abe7aac19fa8b8b70afe9f9305d93aef2d2dbb NeedsCompilation: no Packaged: 2026-06-20 06:52:09 UTC; root Author: Mark Myatt [aut, cph] (ORCID: ), Ernest Guevarra [aut, cre, cph] (ORCID: ) Maintainer: Ernest Guevarra