DiegoZardetto/ReGenesees: R Evolved Generalized Software for Sampling Estimates and Errors in Surveys

Design-Based and Model-Assisted analysis of complex sample surveys. Multistage, stratified, clustered, unequally weighted survey designs. Calibration of survey weights. Horvitz-Thompson and Calibration Estimators. Variance Estimation for nonlinear smooth estimators by Taylor-series linearization. Estimates, standard errors, confidence intervals and design effects for: Totals, Means, absolute and relative Frequency Distributions (marginal, conditional, and joint), Ratios, Shares and Ratios of Shares, Multiple Regression Coefficients, and Quantiles. Automated Linearization of user-defined Complex Estimators. Design Covariance and Correlation. Estimates and sampling errors of user-defined complex Measures of Change derived from two not necessarily independent samples. Estimates and sampling errors for subpopulations. Consistent trimming of calibration weights. Calibration on complex population parameters, e.g. multiple regression coefficients. Generalized Variance Functions (GVF) method for predicting variance estimates. Sample size requirements and power calculations.

Getting started

Package details

AuthorDiego Zardetto [aut, cre]
MaintainerDiego Zardetto <zardetto@istat.it>
LicenseEUPL
Version2.4
URL https://diegozardetto.github.io/ReGenesees/ https://github.com/DiegoZardetto/ReGenesees/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("DiegoZardetto/ReGenesees")
DiegoZardetto/ReGenesees documentation built on Dec. 16, 2024, 2:03 p.m.