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.
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2, or (at your option)
any later version.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this file. A copy of the GNU General Public License is
available at http://www.r-project.org/Licenses/
-------------------
This package contains the samplingVarEst (Sampling Variance Estimation)
package version 1.5 for R.
Authors: 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>