Package: samplingVarEst 1.5

Emilio Lopez Escobar
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.
Authors:
samplingVarEst_1.5.tar.gz
samplingVarEst_1.5.tar.gz(r-4.7-arm64)samplingVarEst_1.5.tar.gz(r-4.7-x86_64)samplingVarEst_1.5.tar.gz(r-4.6-arm64)samplingVarEst_1.5.tar.gz(r-4.6-x86_64)
samplingVarEst_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
samplingVarEst/json (API)
| # Install 'samplingVarEst' in R: |
| install.packages('samplingVarEst', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- oaxaca - Municipalities of the state of Oaxaca in Mexico
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:eae5f76301. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 132 | ||
| linux-devel-x86_64 | OK | 104 | ||
| source / vignettes | OK | 144 | ||
| linux-release-arm64 | OK | 115 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 83 |
Exports:Est.Corr.HajekEst.Corr.NHTEst.EmpDistFunc.HajekEst.EmpDistFunc.NHTEst.Mean.HajekEst.Mean.NHTEst.RatioEst.RegCo.HajekEst.RegCoI.HajekEst.Total.HajekEst.Total.NHTPk.PropNorm.UPkl.Hajek.sPkl.Hajek.UVE.EB.HT.Mean.HajekVE.EB.HT.RatioVE.EB.HT.Total.HajekVE.EB.SYG.Mean.HajekVE.EB.SYG.RatioVE.EB.SYG.Total.HajekVE.Hajek.Mean.NHTVE.Hajek.Total.NHTVE.HT.Mean.NHTVE.HT.Total.NHTVE.Jk.B.Corr.HajekVE.Jk.B.Mean.HajekVE.Jk.B.RatioVE.Jk.B.RegCo.HajekVE.Jk.B.RegCoI.HajekVE.Jk.B.Total.HajekVE.Jk.CBS.HT.Corr.HajekVE.Jk.CBS.HT.Mean.HajekVE.Jk.CBS.HT.RatioVE.Jk.CBS.HT.RegCo.HajekVE.Jk.CBS.HT.RegCoI.HajekVE.Jk.CBS.HT.Total.HajekVE.Jk.CBS.SYG.Corr.HajekVE.Jk.CBS.SYG.Mean.HajekVE.Jk.CBS.SYG.RatioVE.Jk.CBS.SYG.RegCo.HajekVE.Jk.CBS.SYG.RegCoI.HajekVE.Jk.CBS.SYG.Total.HajekVE.Jk.EB.SW2.Corr.HajekVE.Jk.EB.SW2.Mean.HajekVE.Jk.EB.SW2.RatioVE.Jk.EB.SW2.RegCo.HajekVE.Jk.EB.SW2.RegCoI.HajekVE.Jk.EB.SW2.Total.HajekVE.Jk.Tukey.Corr.HajekVE.Jk.Tukey.Corr.NHTVE.Jk.Tukey.Mean.HajekVE.Jk.Tukey.RatioVE.Jk.Tukey.RegCo.HajekVE.Jk.Tukey.RegCoI.HajekVE.Jk.Tukey.Total.HajekVE.Lin.HT.RatioVE.Lin.SYG.RatioVE.SYG.Mean.NHTVE.SYG.Total.NHT
Dependencies: