CRAN/E | bbw

bbw

Blocked Weighted Bootstrap

Installation

About

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.

github.com/rapidsurveys/bbw
rapidsurveys.io/bbw/
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 3.0.1
Published 2022-05-30 696 days ago
Needs compilation? no
License GPL-3
CRAN checks bbw results
Language en-GB

Downloads

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Maintainer

Maintainer

Ernest Guevarra

ernestgmd@gmail.com

Authors

Mark Myatt

aut

Ernest Guevarra

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Blocked Weighted Bootstrap

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bbw archive

Depends

R ≥ 3.0.1

Imports

car
withr

Suggests

knitr
rmarkdown
testthat
spelling
covr

Reverse Imports

nipnTK