bbw: Blocked Weighted Bootstrap

Project Status: Active – The project has reached a stable, usable state and is being actively developed. Lifecycle: stable CRAN

Overview

The blocked weighted bootstrap 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 (SMART) surveys) or posterior weighting (e.g. as used in Rapid Assessment Method (RAM) and Simple Spatial Sampling Method (S3M) surveys) is implemented.

For more information on the {bbw} package, you can visit the project website. To learn about the underlying code for this software development project, see the GitHub code repository.

If you are interested in contributing to this project, please be aware of its Contributor Code of Conduct. By participating in this project you agree to abide by its terms. To see a list of features that we are either actively working on, are considering, or need help on, visit our GitHub issues page. If you find something that you can help with, follow these steps on how to contribute.