Point and interval estimation in dual frame surveys. In contrast to classic sampling theory, where only one sampling frame is considered, dual frame methodology assumes that there are two frames available for sampling and that, overall, they cover the entire target population. Then, two probability samples (one from each frame) are drawn and information collected is suitably combined to get estimators of the parameter of interest.
| Version: | 0.2.1 |
| Imports: | sampling, MASS, nnet |
| Published: | 2015-12-12 |
| Author: | Antonio Arcos, Maria del Mar Rueda, Maria Giovanna Ranalli and David Molina |
| Maintainer: | David Molina <dmolinam at ugr.es> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | Frames2 citation info |
| In views: | OfficialStatistics |
| CRAN checks: | Frames2 results |
| Reference manual: | Frames2.pdf |
| Vignettes: |
Estimation in a dual frame context Splitting and formatting data in a dual frame context |
| Package source: | Frames2_0.2.1.tar.gz |
| Windows binaries: | r-devel: Frames2_0.2.1.zip, r-release: Frames2_0.2.1.zip, r-oldrel: Frames2_0.2.1.zip |
| macOS binaries: | r-release (arm64): Frames2_0.2.1.tgz, r-oldrel (arm64): Frames2_0.2.1.tgz, r-release (x86_64): Frames2_0.2.1.tgz, r-oldrel (x86_64): Frames2_0.2.1.tgz |
| Old sources: | Frames2 archive |
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