Blocked Weighted Bootstrap R package bbw version 0.3.1 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. Software Depends: R (>= 4.2.0) Imports: car, cli, doParallel, foreach, methods, parallel, parallelly, stats, stringr, withr Suggests: knitr, rmarkdown, testthat, spelling, covr Ernest Guevarra <ernestgmd@gmail.com> Comprehensive R Archive Network (CRAN) Mark Myatt [aut, cph] (ORCID: <https://orcid.org/0000-0003-1119-1474>), Ernest Guevarra [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-4887-4415>) GPL-3 2026-01-21 application/tgz https://CRAN.R-project.org/package=bbw doi:10.32614/CRAN.package.bbw en-GB