Package: bbw 0.3.0.9000
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.
Authors:
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bbw.pdf |bbw.html✨
bbw/json (API)
NEWS
# Install 'bbw' in R: |
install.packages('bbw', repos = c('https://rapidsurveys.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rapidsurveys/bbw/issues
Pkgdown site:https://rapidsurveys.io
- indicatorsCH1 - Child Morbidity, Health Service Coverage, Anthropometry
- indicatorsCH2 - Infant and Child Feeding Index
- indicatorsHH - Mother Indicators Dataset
- somalia_population - Somalia regional population in 2022
- villageData - Cluster Population Weights Dataset
bootstrapping-statisticsramsurveys
Last updated 5 hours agofrom:07f9daf63b. Checks:7 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 16 2025 |
R-4.5-win | OK | Jan 16 2025 |
R-4.5-linux | OK | Jan 16 2025 |
R-4.4-win | OK | Jan 16 2025 |
R-4.4-mac | OK | Jan 16 2025 |
R-4.3-win | OK | Jan 16 2025 |
R-4.3-mac | OK | Jan 16 2025 |
Exports:boot_bwboot_bw_estimateboot_bw_parallelboot_bw_sample_clustersboot_bw_sample_within_clustersboot_bw_sequentialboot_bw_weightbootBWbootClassicbootPROBITestimate_totalrecode
Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydoParalleldplyrfansifarverforeachFormulagenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivparallellypbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Blocked Weighted Bootstrap
Rendered frombbw.Rmd
usingknitr::rmarkdown
on Jan 16 2025.Last update: 2025-01-15
Started: 2018-01-14
Blocked weighted bootstrap estimation
Rendered frombbw-estimation.Rmd
usingknitr::rmarkdown
on Jan 16 2025.Last update: 2025-01-11
Started: 2025-01-08
Using bbw with parallel computation
Rendered frombbw-parallel.Rmd
usingknitr::rmarkdown
on Jan 16 2025.Last update: 2025-01-15
Started: 2025-01-15
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Blocked Weighted Bootstrap - vectorised and parallel | boot_bw boot_bw_parallel boot_bw_sample_clusters boot_bw_sample_within_clusters boot_bw_sequential boot_bw_weight |
Estimate median and confidence intervals from bootstrap replicates | boot_bw_estimate |
Blocked Weighted Bootstrap | bootBW |
Simple proportion statistics function for bootstrap estimation | bootClassic |
PROBIT statistics function for bootstrap estimation | bootPROBIT |
Post-stratification analysis | estimate_total |
Child Morbidity, Health Service Coverage, Anthropometry | indicatorsCH1 |
Infant and Child Feeding Index | indicatorsCH2 |
Mother Indicators Dataset | indicatorsHH |
Recode | recode |
Somalia regional population in 2022 | somalia_population |
Cluster Population Weights Dataset | villageData |