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samplingVarEst  

Sampling Variance Estimation
View on CRAN: Click here


Download and install samplingVarEst package within the R console
Install from CRAN:
install.packages("samplingVarEst")

Install from Github:
library("remotes")
install_github("cran/samplingVarEst")

Install by package version:
library("remotes")
install_version("samplingVarEst", "1.5")



Attach the package and use:
library("samplingVarEst")
Maintained by
Emilio Lopez Escobar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-30
Latest Update: 2023-01-14
Description:
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.
How to cite:
Emilio Lopez Escobar (2012). samplingVarEst: Sampling Variance Estimation. R package version 1.5, https://cran.r-project.org/web/packages/samplingVarEst. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.9-1 (2012-11-06 08:01), 0.9-2 (2013-04-22 18:06), 0.9-3 (2013-05-13 10:29), 0.9-5 (2013-07-25 21:53), 0.9-6 (2013-09-03 14:06), 0.9-7 (2013-12-14 08:05), 0.9-8 (2013-12-31 22:04), 0.9-9 (2014-05-13 21:11), 0.9 (2012-10-30 18:27), 1.0-1 (2016-01-03 16:14), 1.0-2 (2016-06-12 09:41), 1.1 (2017-07-11 07:37), 1.2 (2018-09-22 06:40), 1.3 (2018-10-02 17:50), 1.4 (2019-07-26 00:50)
Other packages that cited samplingVarEst R package
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Other R packages that samplingVarEst depends, imports, suggests or enhances
Complete documentation for samplingVarEst
Functions, R codes and Examples using the samplingVarEst R package
Some associated functions:
Some associated R codes: Pk_PropNorm_U.R . Pkl_Hajek_U.R . Pkl_Hajek_s.R .  Full samplingVarEst package functions and examples
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