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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.
Getting started
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Package details |
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| Author | Emilio Lopez Escobar [aut, cre, cph] <emilio@quantos.mx>, Ernesto Barrios Zamudio [ctb] <ebarrios@itam.mx>, Juan Francisco Munoz Rosas [ctb] <jfmunoz@go.ugr.es> |
| Maintainer | Emilio Lopez Escobar <emilio@quantos.mx> |
| License | GPL (>= 2) |
| Version | 1.5 |
| URL | https://www.quantos.mx/ https://www.itam.mx/ |
| Package repository | View on CRAN |
| Installation |
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