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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.5 |
rolling linux/jammy R-4.5 | samplingVarEst_1.5.tar.gz |
441.9 KiB |
1.5 |
rolling linux/noble R-4.5 | samplingVarEst_1.5.tar.gz |
443.0 KiB |
1.5 |
rolling source/ R- | samplingVarEst_1.5.tar.gz |
92.8 KiB |
1.5 |
latest linux/jammy R-4.5 | samplingVarEst_1.5.tar.gz |
441.9 KiB |
1.5 |
latest linux/noble R-4.5 | samplingVarEst_1.5.tar.gz |
443.0 KiB |
1.5 |
latest source/ R- | samplingVarEst_1.5.tar.gz |
92.8 KiB |
1.5 |
2026-04-26 source/ R- | samplingVarEst_1.5.tar.gz |
92.8 KiB |
1.5 |
2026-04-23 source/ R- | samplingVarEst_1.5.tar.gz |
92.8 KiB |
1.5 |
2026-04-09 windows/windows R-4.5 | samplingVarEst_1.5.zip |
452.8 KiB |
1.5 |
2025-04-20 source/ R- | samplingVarEst_1.5.tar.gz |
92.8 KiB |