PracTools is an R package with functions that compute sample sizes for various types of finite population sampling designs when totals or means are estimated. One-, two-, and three-stage designs are covered as well as allocations for stratified sampling and probability proportional to size sampling. Sample allocations can be computed that minimize the variance of an estimator subject to a budget constraint or that minimize cost subject to a precision constraint. The package also contains some specialized functions for estimating variance components and design effects. Several finite populations are included that are useful for classroom instruction.
pps, sampling, samplingbook, simFrame, survey, PracTools, stratification, alabama, Rsolnp, SamplingStrata
OfficialStatistics, Optimization, SocialSciences, Survival
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For attribution, please cite this work as
Valliant, et al., "The R Journal: PracTools: Computations for Design of Finite Population Samples", The R Journal, 2015
BibTeX citation
@article{RJ-2015-028,
author = {Valliant, Richard and Dever, Jill A. and Kreuter, Frauke},
title = {The R Journal: PracTools: Computations for Design of Finite Population Samples},
journal = {The R Journal},
year = {2015},
note = {https://doi.org/10.32614/RJ-2015-028},
doi = {10.32614/RJ-2015-028},
volume = {7},
issue = {2},
issn = {2073-4859},
pages = {163-176}
}