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The R package optimall offers a collection of functions that efficientlystreamline the design process of sampling in surveys ranging from simple tocomplex. The package's main functions allow users to interactively define andadjust strata cut points based on values or quantiles of auxiliary covariates,adaptively calculate the optimum number of samples to allocate to each stratumusing Neyman or Wright allocation, and select specific IDs to sample based on astratified sampling design. Using real-life epidemiological study examples, wedemonstrate how optimall facilitates an efficient workflow for the design andimplementation of surveys in R. Although tailored towards multi-wave samplingunder two- or three-phase designs, the R package optimall may be useful for anysampling survey.

Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall