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Functions to calculate some point estimators and estimate their variance under unequal probability sampling without replacement. Single and two-stage sampling designs are considered. Some approximations for the second-order inclusion probabilities (joint inclusion probabilities) are available (sample and population based). A variety of Jackknife variance estimators are implemented. Almost every function is written in C (compiled) code for faster results. The functions incorporate some performance improvements for faster results with large datasets.
| Version: | 1.5 |
| Depends: | R (≥ 3.1.0) |
| Published: | 2023-01-14 |
| DOI: | 10.32614/CRAN.package.samplingVarEst |
| Author: | Emilio Lopez Escobar [aut, cre, cph], Ernesto Barrios Zamudio [ctb], Juan Francisco Munoz Rosas [ctb] |
| Maintainer: | Emilio Lopez Escobar <emilio at quantos.mx> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.quantos.mx/, https://www.itam.mx/ |
| NeedsCompilation: | yes |
| Classification/ACM: | G.3 |
| Classification/JEL: | C13, C15, C42, C83 |
| Classification/MSC: | 62D05, 62F40, 62G09, 62H12 |
| Citation: | samplingVarEst citation info |
| Materials: | README ChangeLog |
| In views: | OfficialStatistics |
| CRAN checks: | samplingVarEst results |
| Reference manual: | samplingVarEst.pdf |
| Package source: | samplingVarEst_1.5.tar.gz |
| Windows binaries: | r-devel: samplingVarEst_1.5.zip, r-release: samplingVarEst_1.5.zip, r-oldrel: samplingVarEst_1.5.zip |
| macOS binaries: | r-release (arm64): samplingVarEst_1.5.tgz, r-oldrel (arm64): samplingVarEst_1.5.tgz, r-release (x86_64): samplingVarEst_1.5.tgz, r-oldrel (x86_64): samplingVarEst_1.5.tgz |
| Old sources: | samplingVarEst archive |
| Reverse imports: | RRTCS |
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