Package: samplingVarEst
Version: 1.5
Date: 2023-01-13
Title: Sampling Variance Estimation
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>
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.
Classification/MSC: 62D05, 62F40, 62G09, 62H12
Classification/JEL: C13, C15, C42, C83
Classification/ACM: G.3
Depends: R (>= 3.1.0)
License: GPL (>= 2)
URL: https://www.quantos.mx/, https://www.itam.mx/
NeedsCompilation: yes
Packaged: 2023-01-14 04:02:31 UTC; E
Repository: CRAN
Date/Publication: 2023-01-14 09:30:06 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 22:02:25 UTC; unix
Archs: samplingVarEst.so.dSYM
