Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934) <doi:10.2307/2342192> or Wright (2012) <doi:10.1080/00031305.2012.733679> allocation, split strata based on quantiles or values of known variables, randomly select samples from strata, allocate sampling waves iteratively, and organize a complex survey design. Also includes a Shiny application for observing the effects of different strata splits.
Version: 1.1.1 Depends: R (≥ 3.5.0) Imports: dplyr (≥ 1.0.5), glue (≥ 1.4.0), magrittr (≥ 2.0.0), methods (≥ 4.0.0), rlang (≥ 0.2.2), stats (≥ 4.0.2), tibble (≥ 1.4.2), utils (≥ 3.5.0) Suggests: bslib (≥ 0.2.4), DiagrammeR (≥ 1.0.0), DT (≥ 0.15), datasets, globals (≥ 0.12), knitr (≥ 1.28), MASS (≥ 7.1), rmarkdown (≥ 2.7), shiny (≥ 1.6.0), shinytest (≥ 1.4.0), survey (≥ 4.0), tidyr (≥ 1.3), testthat (≥ 3.0.2), webshot (≥ 0.5) Published: 2024-06-03 DOI: 10.32614/CRAN.package.optimall Author: Jasper Yang [aut, cre], Pamela Shaw [aut], Bryan Shepherd [ctb], Thomas Lumley [ctb], Gustavo Amorim [rev] Maintainer: Jasper Yang <jbyang at uw.edu> BugReports: https://github.com/yangjasp/optimall/issues License: GPL-3 URL: https://github.com/yangjasp/optimall NeedsCompilation: no Materials: README NEWS CRAN checks: optimall resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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