samplingVarEst: Sampling Variance Estimation
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 |
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