{"id":2934,"date":"2023-11-24T16:24:56","date_gmt":"2023-11-24T15:24:56","guid":{"rendered":"https:\/\/www.istat.it\/?page_id=2934"},"modified":"2025-10-07T09:52:57","modified_gmt":"2025-10-07T07:52:57","slug":"regenesees","status":"publish","type":"page","link":"https:\/\/www.istat.it\/en\/classifications-and-tools\/methods-and-software-of-the-statistical-process\/process-phase\/weighting-estimation-and-sampling-error-evaluation\/regenesees\/","title":{"rendered":"ReGenesees"},"content":{"rendered":"\n<p>The contents related to ReGenesees are shown in the following sections:<\/p>\n\n\n<section class=\"gblock accordion_livelli white-bg  py-0\"  aria-labelledby=\"section-1\"><div class=\"container p-lg-0 block_count_1\" data-blockcount=\"1\"><div class=\"row pb-2\">\t\t<div class=\"accordion bianco\" id=\"accordion_1liv_0_block_166ce8156352b91805b7adffed388c16\">\r\n\t\t\t\t\t\t\t<div class=\"accordion-item liv1\">\r\n\t\t\t\t\t\t\t\t\t\t\t<h2 class=\"accordion-header\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<button class=\"accordion-button collapsed\" type=\"button\" \r\n\t\t\t\t\t\t\t\tdata-bs-toggle=\"collapse\" data-bs-target=\"#collapse_al_1_1liv_block_166ce8156352b91805b7adffed388c16\" aria-expanded=\"false\" aria-controls=\"collapse_al_1_1liv_block_166ce8156352b91805b7adffed388c16\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tDescription\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/button>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h2>\r\n\t\t\t\t\t\t\t\t\t\t<div id=\"collapse_al_1_1liv_block_166ce8156352b91805b7adffed388c16\" class=\"accordion-collapse collapse\" \r\n\t\t\t\t\t\tdata-row=\"0\" \r\n\t\t\t\t\t\tdata-depth=\"1\" \r\n\t\t\t\t\t\t\t\t\t\t\t\tdata-bs-parent=\"#accordion_1liv_0_block_166ce8156352b91805b7adffed388c16\">\r\n                        <div class=\"row\">\r\n                                                            <div class=\"accordion-body col-12\">\r\n                                    <p>ReGenesees (R Evolved Generalized Software for Sampling Estimates and Errors in Surveys) is a full-fledged R software for design-based and model-assisted analysis of complex sample surveys.<\/p>\n<p>This system is the outcome of a long-term research and development project, aimed at defining a new Istat standard for calibration, estimation and sampling error assessment in large-scale sample surveys.<\/p>\n<p><strong>Main Statistical Functions<\/strong><\/p>\n<ul class=\"lista\">\n<li>Complex Sampling Designs\n<ul class=\"lista\">\n<li><em>Multistage, stratified, clustered, sampling designs<\/em><\/li>\n<li><em>Sampling with equal or unequal probabilities, with or without replacement<\/em><\/li>\n<li><em>\u201cMixed\u201d sampling designs (i.e. with both self\u2011representing and non\u2011self\u2011representing strata)<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"lista\">\n<li>Calibration\n<ul class=\"lista\">\n<li><em>Global and partitioned (for factorizable calibration models)<\/em><\/li>\n<li><em>Unit\u2011level and cluster\u2011level weights adjustment<\/em><\/li>\n<li><em>Homoscedastic and heteroscedastic models<\/em><\/li>\n<li><em>Linear, raking and logit distance functions<\/em><\/li>\n<li><em>Bounded and unbounded weights adjustment<\/em><\/li>\n<li><em>Multi\u2011step calibration<\/em><\/li>\n<li><em>Calibration on multiple regression coefficients<\/em><\/li>\n<li><em>Consistent trimming of calibration weights<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"lista\">\n<li>Basic Estimators\n<ul class=\"lista\">\n<li><em>Horvitz-Thompson<\/em><\/li>\n<li><em>Calibration Estimators<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"lista\">\n<li>Variance Estimation\n<ul class=\"lista\">\n<li><em>Multistage formulation<\/em><\/li>\n<li><em>Ultimate Cluster approximation<\/em><\/li>\n<li><em>Collapsed strata technique for handling lonely PSUs<\/em><\/li>\n<li><em>Taylor\u2011linearization of nonlinear \u201csmooth\u201d estimators<\/em><\/li>\n<li><em>Generalized Variance Functions method<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"lista\">\n<li>Estimates and Sampling Errors (standard error, variance, coefficient of variation, confidence interval, design effect) for:\n<ul class=\"lista\">\n<li><em>Totals<\/em><\/li>\n<li><em>Means<\/em><\/li>\n<li><em>Absolute and relative frequency distributions (marginal, conditional and joint)<\/em><\/li>\n<li><em>Ratios between totals<\/em><\/li>\n<li><em>Shares and ratios between shares<\/em><\/li>\n<\/ul>\n<ul class=\"lista\">\n<li><em>Multiple regression coefficients<\/em><\/li>\n<li><em>Quantiles<\/em><\/li>\n<li><em>Population variance and standard deviation of numeric variables<\/em><\/li>\n<li><em>Measures of Change derived from two not necessarily independent samples<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"lista\">\n<li>Estimates and Sampling Errors for Complex Estimators\n<ul class=\"lista\">\n<li><em>Handles arbitrary differentiable functions of Horvitz\u2011Thompson or Calibration estimators<\/em><\/li>\n<\/ul>\n<ul class=\"lista\">\n<li><em>Complex Estimators can be freely defined by the user<\/em><\/li>\n<\/ul>\n<ul class=\"lista\">\n<li><em>Automated Taylor\u2011linearization<\/em><\/li>\n<\/ul>\n<ul class=\"lista\">\n<li><em>Design covariance and correlation between Complex Estimators<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<dl>\n<dd><\/dd>\n<\/dl>\n<ul class=\"lista\">\n<li>Estimates and Sampling Errors for Subpopulations (Domains)<\/li>\n<\/ul>\n<ul class=\"lista\">\n<li>Sample Size Requirements and Power Calculations for:\n<ul class=\"lista\">\n<li><em>Estimators of proportions and comparisons between two proportions<\/em><\/li>\n<li><em>Estimators of means and comparisons between two means<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>System Architecture<\/strong><\/p>\n<p>The ReGenesees system has a clear-cut two-layer architecture. The application layer of the system is embedded into an R package named\u00a0<strong>ReGenesees<\/strong>. A second R package, called\u00a0<strong>ReGenesees.GUI<\/strong>, implements the presentation layer of the system (namely a Tcl\/Tk GUI). Both packages can be run under Windows as well as under Mac, Linux and most of the Unix-like operating systems.<\/p>\n<p>While the\u00a0<strong>ReGenesees.GUI<\/strong>\u00a0package requires the\u00a0<strong>ReGenesees<\/strong>\u00a0package, the latter can be used also without the GUI on its top. This means that the statistical functions of the system will always be accessible by users interacting with R through the traditional command-line. On the contrary, less experienced R users will take advantage from the user-friendly mouse-click graphical interface.<\/p>\n                                <\/div>\r\n                                                                                <\/div>\r\n                        \t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t<div class=\"accordion-item liv1\">\r\n\t\t\t\t\t\t\t\t\t\t\t<h2 class=\"accordion-header\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<button class=\"accordion-button collapsed\" type=\"button\" \r\n\t\t\t\t\t\t\t\tdata-bs-toggle=\"collapse\" data-bs-target=\"#collapse_al_2_1liv_block_166ce8156352b91805b7adffed388c16\" aria-expanded=\"false\" aria-controls=\"collapse_al_2_1liv_block_166ce8156352b91805b7adffed388c16\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tInformation\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/button>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h2>\r\n\t\t\t\t\t\t\t\t\t\t<div id=\"collapse_al_2_1liv_block_166ce8156352b91805b7adffed388c16\" class=\"accordion-collapse collapse\" \r\n\t\t\t\t\t\tdata-row=\"0\" \r\n\t\t\t\t\t\tdata-depth=\"1\" \r\n\t\t\t\t\t\t\t\t\t\t\t\tdata-bs-parent=\"#accordion_1liv_0_block_166ce8156352b91805b7adffed388c16\">\r\n                        <div class=\"row\">\r\n                                                            <div class=\"accordion-body col-12\">\r\n                                    <p><strong>Status:<\/strong> validated<\/p>\n<p><strong>Author:<\/strong> Istat<\/p>\n<p><strong>Licence:<\/strong> <a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2023\/12\/EUPL-v.1.1-Licence.pdf\">EUPL v. 1.1 and v. 1.2<\/a><\/p>\n<p><strong>GSBPM code:<\/strong><\/p>\n<p>5.6 Calculate weights<br \/>\n5.7 Calculate aggregates<\/p>\n<p><strong>Programming language:<\/strong> R<\/p>\n<p><strong>Language of the GUI:<\/strong> EN<\/p>\n<p><strong>Keywords:<\/strong> calibration, estimation, variance estimation, complex surveys, complex estimators, automated linearization, R<\/p>\n<p><strong>Contact:<\/strong><\/p>\n<p>name: Diego Zardetto<br \/>\nemail: <a href=\"mailto:zardetto@istat.it\">zardetto@istat.it<\/a><\/p>\n                                <\/div>\r\n                                                                                <\/div>\r\n                        \t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t<div class=\"accordion-item liv1\">\r\n\t\t\t\t\t\t\t\t\t\t\t<h2 class=\"accordion-header\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<button class=\"accordion-button collapsed\" type=\"button\" \r\n\t\t\t\t\t\t\t\tdata-bs-toggle=\"collapse\" data-bs-target=\"#collapse_al_3_1liv_block_166ce8156352b91805b7adffed388c16\" aria-expanded=\"false\" aria-controls=\"collapse_al_3_1liv_block_166ce8156352b91805b7adffed388c16\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tSoftware and documentation\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/button>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h2>\r\n\t\t\t\t\t\t\t\t\t\t<div id=\"collapse_al_3_1liv_block_166ce8156352b91805b7adffed388c16\" class=\"accordion-collapse collapse\" \r\n\t\t\t\t\t\tdata-row=\"0\" \r\n\t\t\t\t\t\tdata-depth=\"1\" \r\n\t\t\t\t\t\t\t\t\t\t\t\tdata-bs-parent=\"#accordion_1liv_0_block_166ce8156352b91805b7adffed388c16\">\r\n                        <div class=\"row\">\r\n                                                            <div class=\"accordion-body col-12\">\r\n                                    <p><strong>SOFTWARE DEPENDENCIES\u00a0<\/strong><strong>for p<\/strong><strong>ackage ReGenesees<\/strong><\/p>\n<p>R ( \u2265 2.14.0)<\/p>\n<p><strong>SOFTWARE DEPENDENCIES for package ReGenesees.GUI<\/strong><\/p>\n<p>R ( \u2265 2.14.0)<\/p>\n<p>R packages: ReGenesees,\u00a0<a href=\"http:\/\/cran.r-project.org\/web\/packages\/tcltk2\/index.html\">tcltk2<\/a>,\u00a0<a href=\"http:\/\/cran.r-project.org\/web\/packages\/RODBC\/index.html\">RODBC<\/a>\u00a0and\u00a0<a href=\"http:\/\/cran.r-project.org\/web\/packages\/svMisc\/index.html\">svMisc<\/a><\/p>\n<p><strong>COPYRIGHT<\/strong><\/p>\n<p>Copyright 2025 Istat<\/p>\n<p>Licensed under the European Union Public Licence (EUPL), version v. 1.1 and v. 1.2. You may not use this work except in compliance with the Licence. You may obtain a copy of the Licence at:\u00a0<a href=\"https:\/\/interoperable-europe.ec.europa.eu\/collection\/eupl\/documentation-repository\">https:\/\/interoperable-europe.ec.europa.eu\/collection\/eupl\/documentation-repository<\/a>. Unless required by applicable law or agreed to in writing, software distributed under the Licence is distributed on an \u201cAS IS\u201d basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licence for the specific language governing permissions and limitations under the Licence.<\/p>\n<p><strong>DISCLAIMER<\/strong><\/p>\n<p>Istat assumes no responsibility for the results arising from use of the instrument that is inconsistent with the methodological guidance contained in the documentation available.<\/p>\n<p><strong>DOWNLOAD<\/strong><br \/>\nRelease date: 03\/10\/2025<\/p>\n<p>Package\u00a0<strong>ReGenesees<\/strong>\u00a0(statistical engine)<\/p>\n<ul class=\"lista\">\n<li><a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2025\/10\/ReGenesees_2.4.zip\">ReGenesees Version 2.4 \u2013 Windows binaries<\/a><\/li>\n<li><a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2025\/10\/ReGenesees_2.4.tar.gz\">ReGenesees Version 2.4 \u2013 Package source<\/a><\/li>\n<\/ul>\n<p>Package\u00a0<strong>ReGenesees.GUI<\/strong>\u00a0(graphical user interface)<\/p>\n<ul class=\"lista\">\n<li><a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2025\/10\/ReGenesees.GUI_2.4.zip\">ReGenesees.GUI Version 2.4 \u2013 Windows binaries<\/a><\/li>\n<li><a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2025\/10\/ReGenesees.GUI_2.4.tar.gz\">ReGenesees.GUI Version 2.4 \u2013 Package source<\/a><\/li>\n<\/ul>\n<p><strong>INSTALLATION<\/strong><\/p>\n<p>Install the downloaded package from within R as follows:<br \/>\n&gt; install.packages(path_to_file, repos = NULL)<br \/>\nwhere the character path_to_file is the path to the .zip or .tar.gz file you downloaded.<\/p>\n<p><strong>TECHNICAL AND METHODOLOGICAL DOCUMENTATION<\/strong><\/p>\n<p><a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2025\/10\/ReGenesees.pdf\" rel=\"\">Reference manual -ReGenesees v. 2.4<\/a><\/p>\n<p><a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2025\/10\/ReGenesees.GUI_.pdf\" rel=\"\">Reference manual \u2013 ReGenesees.GUI v. 2.4<\/a><\/p>\n<p><strong>OTHER DOCUMENTATION<\/strong><\/p>\n<p><a href=\"https:\/\/diegozardetto.github.io\/ReGenesees\/\" target=\"_blank\" rel=\"noopener\">ReGenesees website<\/a><\/p>\n<p>Fallows, A., M. Pope, J. Digby-North, G. Brown, and D. Lewis. 2015. \u201c<a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2023\/12\/RRS3_2015_A05.pdf\">A Comparative Study of Complex Survey Estimation Software in ONS<\/a>\u201c. Romanian Statistical Review, 3:46-64.<\/p>\n<p>Zardetto, D. 2015. \u201c<a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2023\/12\/Zardetto-jos-2015-0013.pdf\">ReGenesees: an Advanced R System for Calibration, Estimation and Sampling Error Assessment in Complex Sample Surveys<\/a>\u201c. Journal of Official Statistics, Volume 31, N. 2: 177-203.<\/p>\n<p>Zardetto, D. 2013. \u201c<a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2023\/12\/NTTS2013fullPaper_131-v2.pdf\">ReGenesees: an Advanced R System for Calibration, Estimation and Sampling Errors Assessment in Complex Sample Surveys<\/a>\u201c. In\u00a0<em>Proceedings of the 7<\/em><em><sup>th<\/sup><\/em>\u00a0<em>International Conferences on New Techniques and Technologies for Statistics (NTTS)<\/em>. Eurostat, Brussels, 5-7 March 2013.<\/p>\n<p>Barcaroli, G., and D. Zardetto. 2012. \u201c<a href=\"https:\/\/www.istat.it\/wp-content\/uploads\/2023\/12\/ICES4_final_rev-1.pdf\">Use of R in Business Surveys at the Italian National Institute of Statistics: Experiences and Perspectives<\/a>\u201c. In\u00a0<em>Proceedings of the 4<sup>th<\/sup>\u00a0International Conference of Establishment Surveys (ICES IV)<\/em>. American Statistical Association, Montr\u00e9al, 11-14 June 2012.<\/p>\n                                <\/div>\r\n                                                                                <\/div>\r\n                        \t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t<\/div><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>The contents related to ReGenesees are shown in the following sections:<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":2735,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2934","page","type-page","status-publish","hentry"],"acf":[],"wpml_current_locale":"en_US","wpml_translations":[],"_links":{"self":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/2934","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/comments?post=2934"}],"version-history":[{"count":10,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/2934\/revisions"}],"predecessor-version":[{"id":106410,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/2934\/revisions\/106410"}],"up":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/2735"}],"wp:attachment":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/media?parent=2934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}