bbw: Blocked Weighted Bootstrap

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:	0.2.0
Depends:	R (≥ 3.0.1)
Imports:	car, withr
Suggests:	knitr, rmarkdown, testthat, spelling, covr
Published:	2022-05-30
Author:	Mark Myatt [aut], Ernest Guevarra [aut, cre]
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
Materials:	README NEWS
CRAN checks:	bbw results

Documentation:

Reference manual:	bbw.pdf
Vignettes:	Blocked Weighted Bootstrap

Downloads:

Package source:	bbw_0.2.0.tar.gz
Windows binaries:	r-devel: bbw_0.2.0.zip, r-release: bbw_0.2.0.zip, r-oldrel: bbw_0.2.0.zip
macOS binaries:	r-release (arm64): bbw_0.2.0.tgz, r-oldrel (arm64): bbw_0.2.0.tgz, r-release (x86_64): bbw_0.2.0.tgz, r-oldrel (x86_64): bbw_0.2.0.tgz
Old sources:	bbw archive

Reverse dependencies:

Reverse imports:

nipnTK

Linking:

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