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bbw  

Blocked Weighted Bootstrap
View on CRAN: Click here


Download and install bbw package within the R console
Install from CRAN:
install.packages("bbw")

Install from Github:
library("remotes")
install_github("cran/bbw")

Install by package version:
library("remotes")
install_version("bbw", "0.3.0")



Attach the package and use:
library("bbw")
Maintained by
Ernest Guevarra
[Scholar Profile | Author Map]
First Published: 2018-01-17
Latest Update: 2022-05-30
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.
How to cite:
Ernest Guevarra (2018). bbw: Blocked Weighted Bootstrap. R package version 0.3.0, https://cran.r-project.org/web/packages/bbw. Accessed 12 Apr. 2025.
Previous versions and publish date:
0.1.3 (2018-01-17 10:18), 0.2.0 (2022-05-30 04:50)
Other packages that cited bbw R package
View bbw citation profile
Other R packages that bbw depends, imports, suggests or enhances
Complete documentation for bbw
Functions, R codes and Examples using the bbw R package
Some associated functions: bbw . bootBW . bootClassic . bootPROBIT . indicatorsCH1 . indicatorsCH2 . indicatorsHH . recode . villageData . 
Some associated R codes: bbw.R . bootClassic.R . bootProbit.R . data.R . recode.R .  Full bbw package functions and examples
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