The R Journal: article published in 2015, volume 7:1

Frames2: A Package for Estimation in Dual Frame Surveys
Antonio Arcos, David Molina, Maria Giovanna Ranalli and María del Mar Rueda , The R Journal (2015) 7:1, pages 52-72.

Abstract Data from complex survey designs require special consideration with regard to estimation of finite population parameters and corresponding variance estimation procedures, as a consequence of significant departures from the simple random sampling assumption. In the past decade a number of statistical software packages have been developed to facilitate the analysis of complex survey data. All these statistical software packages are able to treat samples selected from one sampling frame containing all population units. Dual frame surveys are very useful when it is not possible to guarantee a complete coverage of the target population and may result in considerable cost savings over a single frame design with comparable precision. There are several estimators available in the statistical literature but no existing software covers dual frame estimation procedures. This gap is now filled by package Frames2. In this paper we highlight the main features of the package. The package includes the main estimators in dual frame surveys and also provides interval confidence estimation.

Received: 2014-09-05; online 2015-04-23
CRAN packages: survey, sampling, laeken, TeachingSampling, Frames2
CRAN Task Views implied by cited CRAN packages: OfficialStatistics, ReproducibleResearch, SocialSciences, Survival

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2015-005,
  author = {Antonio Arcos and David Molina and Maria Giovanna Ranalli
          and María del Mar Rueda},
  title = {{Frames2: A Package for Estimation in Dual Frame Surveys}},
  year = {2015},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2015-005},
  url = {https://doi.org/10.32614/RJ-2015-005},
  pages = {52--72},
  volume = {7},
  number = {1}
}