R Evolved Generalized Software for Sampling Estimates and Errors
in Surveys
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Documentation for package ‘ReGenesees’ version 2.4
Help Pages
A B C D E F G M N P R S T U V W Z misc
| ReGenesees-package | ReGenesees: a Package for Design-Based and Model-Assisted Analysis of Complex Sample Surveys |
-- A --
| AF | Example Data for GVF Model Fitting |
| AF.gvf | Example Data for GVF Model Fitting |
| AIC | Quality Measures on Fitted GVF Models |
| AIC.gvf.fit.gr | Quality Measures on Fitted GVF Models |
| AIC.gvf.fits | Quality Measures on Fitted GVF Models |
| AIC.gvf.fits.gr | Quality Measures on Fitted GVF Models |
| analytic | Specification of a Complex Survey Design |
| anova.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| anova.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| anova.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| anova.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
| aux.estimates | Quick Estimates of Auxiliary Variables Totals |
-- B --
| BarPlotCI | Visualize Domain Estimates and Confidence Intervals by Simple Plots and Bar Charts |
| BIC | Quality Measures on Fitted GVF Models |
| BIC.gvf.fit.gr | Quality Measures on Fitted GVF Models |
| BIC.gvf.fits | Quality Measures on Fitted GVF Models |
| BIC.gvf.fits.gr | Quality Measures on Fitted GVF Models |
| bounds | Artificial Household Survey Data |
| bounds.hint | A Hint for Range Restricted Calibration |
-- C --
| cal.analytic | Calibration of Survey Weights |
| calmodel | Set, Reset or Switch Off Contrasts for Calibration Models |
| check.cal | Calibration Convergence Check |
| coef.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| coef.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| coef.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| coef.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
| coef.svyDelta | Estimation of a Measure of Change from Two Not Necessarily Independent Samples |
| coef.svySigma | Estimation of the Population Standard Deviation of a Variable |
| coef.svySigma2 | Estimation of the Population Variance of a Variable |
| coef.svystat.gr | Compute Many Estimates and Errors in Just a Single Shot |
| coef.svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| coef.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
| coef.svystatL | Estimation of Complex Estimators in Subpopulations |
| coef.svystatQ | Estimation of Quantiles in Subpopulations |
| coef.svystatR | Estimation of Ratios in Subpopulations |
| coef.svystatS | Estimation of Shares in Subpopulations |
| coef.svystatSR | Estimation of Share Ratios in Subpopulations |
| coef.svystatTM | Estimation of Totals and Means in Subpopulations |
| collapse.strata | Collapse Strata Technique for Eliminating Lonely PSUs |
| confint.svyDelta | Estimation of a Measure of Change from Two Not Necessarily Independent Samples |
| confint.svySigma | Estimation of the Population Standard Deviation of a Variable |
| confint.svySigma2 | Estimation of the Population Variance of a Variable |
| confint.svystat.gr | Compute Many Estimates and Errors in Just a Single Shot |
| confint.svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| confint.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
| confint.svystatL | Estimation of Complex Estimators in Subpopulations |
| confint.svystatQ | Estimation of Quantiles in Subpopulations |
| confint.svystatR | Estimation of Ratios in Subpopulations |
| confint.svystatS | Estimation of Shares in Subpopulations |
| confint.svystatSR | Estimation of Share Ratios in Subpopulations |
| confint.svystatTM | Estimation of Totals and Means in Subpopulations |
| contr.off | Set, Reset or Switch Off Contrasts for Calibration Models |
| contrasts.off | Set, Reset or Switch Off Contrasts for Calibration Models |
| contrasts.reset | Set, Reset or Switch Off Contrasts for Calibration Models |
| contrasts.RG | Set, Reset or Switch Off Contrasts for Calibration Models |
| Corr | Design Covariance and Correlation of Complex Estimators in Subpopulations |
| CoV | Design Covariance and Correlation of Complex Estimators in Subpopulations |
| cv | Extractor Functions for Variability Statistics |
| cv.default | Extractor Functions for Variability Statistics |
| cv.svyDelta | Estimation of a Measure of Change from Two Not Necessarily Independent Samples |
| cv.svySigma | Estimation of the Population Standard Deviation of a Variable |
| cv.svySigma2 | Estimation of the Population Variance of a Variable |
| cv.svystat.gr | Compute Many Estimates and Errors in Just a Single Shot |
| cv.svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| cv.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
| cv.svystatL | Estimation of Complex Estimators in Subpopulations |
| cv.svystatQ | Estimation of Quantiles in Subpopulations |
| cv.svystatR | Estimation of Ratios in Subpopulations |
| cv.svystatS | Estimation of Shares in Subpopulations |
| cv.svystatSR | Estimation of Share Ratios in Subpopulations |
| cv.svystatTM | Estimation of Totals and Means in Subpopulations |
-- D --
| data.examples | Artificial Household Survey Data |
| deff | Extractor Functions for Variability Statistics |
| deff.default | Extractor Functions for Variability Statistics |
| deff.svystat.gr | Compute Many Estimates and Errors in Just a Single Shot |
| deff.svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| deff.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
| deff.svystatL | Estimation of Complex Estimators in Subpopulations |
| deff.svystatR | Estimation of Ratios in Subpopulations |
| deff.svystatS | Estimation of Shares in Subpopulations |
| deff.svystatSR | Estimation of Share Ratios in Subpopulations |
| deff.svystatTM | Estimation of Totals and Means in Subpopulations |
| Delta.clus | Two Artificial Cluster Samples for Estimation of Change |
| Delta.el | Two Artificial Samples of Elementary Units for Estimation of Change |
| des.addvars | Add Variables to Design Objects |
| des.merge | Merge New Survey Data into Design Objects |
| details | Estimation of a Measure of Change from Two Not Necessarily Independent Samples |
| drop.gvf.points | Drop Outliers and Refit a GVF Model |
| drop.gvf.points.default | Drop Outliers and Refit a GVF Model |
| drop.gvf.points.gvf.fit | Drop Outliers and Refit a GVF Model |
| drop.gvf.points.gvf.fit.gr | Drop Outliers and Refit a GVF Model |
-- E --
| e.calibrate | Calibration of Survey Weights |
| e.svydesign | Specification of a Complex Survey Design |
| ecal.status | Calibration of Survey Weights |
| ee.AF | Example Data for GVF Model Fitting |
| effects.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| effects.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| effects.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| effects.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
| estimator.kind | Which Estimator Did Generate these Survey Statistics? |
| example | Artificial Household Survey Data |
| exdes | Example Data for GVF Model Fitting |
| ext.calibrated | Make ReGenesees Digest Externally Calibrated Weights |
| extractors | Extractor Functions for Variability Statistics |
-- F --
| fill.template | Fill the Known Totals Template for a Calibration Task |
| find.lon.strata | Find Strata with Lonely PSUs |
| fit.gvf | Fit GVF Models |
| fit.gvf.default | Fit GVF Models |
| fit.gvf.gvf.input | Fit GVF Models |
| fit.gvf.gvf.input.gr | Fit GVF Models |
| fitted.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| fitted.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| fitted.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| fitted.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
| fpcdat | A Small But Not Trivial Artificial Sample Data Set |
-- G --
| g.range | Range of g-Weights |
| get.linvar | Linearized Variable(s) of Complex Estimators by Domains |
| get.residuals | Calibration Residuals of Interest Variables |
| getBest | Identify the Best Fit GVF Model |
| getBest.default | Identify the Best Fit GVF Model |
| getBest.gvf.fit | Identify the Best Fit GVF Model |
| getBest.gvf.fit.gr | Identify the Best Fit GVF Model |
| getBest.gvf.fits | Identify the Best Fit GVF Model |
| getBest.gvf.fits.gr | Identify the Best Fit GVF Model |
| getR2 | Quality Measures on Fitted GVF Models |
| getR2.default | Quality Measures on Fitted GVF Models |
| getR2.gvf.fit | Quality Measures on Fitted GVF Models |
| getR2.gvf.fit.gr | Quality Measures on Fitted GVF Models |
| getR2.gvf.fits | Quality Measures on Fitted GVF Models |
| getR2.gvf.fits.gr | Quality Measures on Fitted GVF Models |
| GVF | Fit GVF Models |
| GVF.db | Archive of Registered GVF Models |
| gvf.fit | Fit GVF Models |
| gvf.fit.gr | Fit GVF Models |
| gvf.fits | Fit GVF Models |
| gvf.fits.gr | Fit GVF Models |
| gvf.input | Prepare Input Data to Fit GVF Models |
| gvf.input.gr | Compute Many Estimates and Errors in Just a Single Shot |
| gvf.misc | Miscellanea: Methods for Fitted GVF Models |
-- M --
| mde.comp2mean | Sample Size Requirements and Power Calculations for Means |
| mde.comp2prop | Sample Size Requirements and Power Calculations for Proportions |
-- N --
| n.comp2mean | Sample Size Requirements and Power Calculations for Means |
| n.comp2prop | Sample Size Requirements and Power Calculations for Proportions |
| n.mean | Sample Size Requirements and Power Calculations for Means |
| n.prop | Sample Size Requirements and Power Calculations for Proportions |
-- P --
| plot.gvf.fit | Diagnostic Plots for Fitted GVF Models |
| plot.gvf.fit.gr | Diagnostic Plots for Fitted GVF Models |
| plot.gvf.fits | Diagnostic Plots for Fitted GVF Models |
| plot.gvf.fits.gr | Diagnostic Plots for Fitted GVF Models |
| plot.gvf.input | Prepare Input Data to Fit GVF Models |
| plot.gvf.input.gr | Compute Many Estimates and Errors in Just a Single Shot |
| PlotCI | Visualize Domain Estimates and Confidence Intervals by Simple Plots and Bar Charts |
| pop.calBeta | Calibration on Multiple Regression Coefficients |
| pop.desc | Natural Language Description of Known Totals Templates |
| pop.desc.pop.totals | Natural Language Description of Known Totals Templates |
| pop.desc.spc.pop | Natural Language Description of Known Totals Templates |
| pop.fuse | Fuse Control Totals Data Frames for Special Purpose and Ordinary Calibration Tasks |
| pop.plot | Plot Calibration Control Totals vs Current Estimates |
| pop.plot.pop.totals | Plot Calibration Control Totals vs Current Estimates |
| pop.plot.spc.pop | Plot Calibration Control Totals vs Current Estimates |
| pop.template | Template Data Frame for Known Population Totals |
| pop01 | Artificial Household Survey Data |
| pop02 | Artificial Household Survey Data |
| pop03 | Artificial Household Survey Data |
| pop03p | Artificial Household Survey Data |
| pop04 | Artificial Household Survey Data |
| pop04p | Artificial Household Survey Data |
| pop05 | Artificial Household Survey Data |
| pop05p | Artificial Household Survey Data |
| pop06p | Artificial Household Survey Data |
| pop07 | Artificial Household Survey Data |
| pop07p | Artificial Household Survey Data |
| pop07pp | Artificial Household Survey Data |
| population.check | Compliance Test for Known Totals Data Frames |
| pow.comp2mean | Sample Size Requirements and Power Calculations for Means |
| pow.comp2prop | Sample Size Requirements and Power Calculations for Proportions |
| prec.mean | Sample Size Requirements and Power Calculations for Means |
| prec.prop | Sample Size Requirements and Power Calculations for Proportions |
| predict.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| predict.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| predict.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| predict.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
| predictCV | Predict CV Values via Fitted GVF Models |
| predictCV.default | Predict CV Values via Fitted GVF Models |
| predictCV.gvf.fit | Predict CV Values via Fitted GVF Models |
| predictCV.gvf.fit.gr | Predict CV Values via Fitted GVF Models |
| predictCV.gvf.fits | Predict CV Values via Fitted GVF Models |
| predictCV.gvf.fits.gr | Predict CV Values via Fitted GVF Models |
| prep.calBeta | Calibration on Multiple Regression Coefficients |
| print.gvf.fit | Fit GVF Models |
| print.gvf.fit.gr | Fit GVF Models |
| print.gvf.fits | Fit GVF Models |
| print.gvf.fits.gr | Fit GVF Models |
| print.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
-- R --
| ReGenesees | ReGenesees: a Package for Design-Based and Model-Assisted Analysis of Complex Sample Surveys |
| ReGenesees.options | Variance Estimation Options for the ReGenesees Package |
| residuals.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| residuals.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| residuals.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| residuals.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
| RG.adjust.domain.lonely | Variance Estimation Options for the ReGenesees Package |
| RG.lonely.psu | Variance Estimation Options for the ReGenesees Package |
| RG.ultimate.cluster | Variance Estimation Options for the ReGenesees Package |
| rstandard.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| rstandard.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| rstandard.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| rstandard.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
| rstudent.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| rstudent.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| rstudent.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| rstudent.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
-- S --
| s1 | Two Artificial Samples of Elementary Units for Estimation of Change |
| s2 | Two Artificial Samples of Elementary Units for Estimation of Change |
| sbs | Artificial Structural Business Statistics Data |
| sbs.frame | Artificial Structural Business Statistics Data |
| sclus1 | Two Artificial Cluster Samples for Estimation of Change |
| sclus2 | Two Artificial Cluster Samples for Estimation of Change |
| SE | Extractor Functions for Variability Statistics |
| SE.default | Extractor Functions for Variability Statistics |
| SE.svyDelta | Estimation of a Measure of Change from Two Not Necessarily Independent Samples |
| SE.svySigma | Estimation of the Population Standard Deviation of a Variable |
| SE.svySigma2 | Estimation of the Population Variance of a Variable |
| SE.svystat.gr | Compute Many Estimates and Errors in Just a Single Shot |
| SE.svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| SE.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
| SE.svystatL | Estimation of Complex Estimators in Subpopulations |
| SE.svystatQ | Estimation of Quantiles in Subpopulations |
| SE.svystatR | Estimation of Ratios in Subpopulations |
| SE.svystatS | Estimation of Shares in Subpopulations |
| SE.svystatSR | Estimation of Share Ratios in Subpopulations |
| SE.svystatTM | Estimation of Totals and Means in Subpopulations |
| smooth.strat.jump | Smooth Weights to Cope with Stratum Jumpers |
| summary.analytic | Specification of a Complex Survey Design |
| summary.gvf.fit | Fit GVF Models |
| summary.gvf.fit.gr | Fit GVF Models |
| summary.gvf.fits | Fit GVF Models |
| summary.gvf.fits.gr | Fit GVF Models |
| summary.svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| summary.svystatB.by | Estimation of Population Regression Coefficients in Subpopulations |
| summary.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
| svyDelta | Estimation of a Measure of Change from Two Not Necessarily Independent Samples |
| svySigma | Estimation of the Population Standard Deviation of a Variable |
| svySigma2 | Estimation of the Population Variance of a Variable |
| svystat | Compute Many Estimates and Errors in Just a Single Shot |
| svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| svystatL | Estimation of Complex Estimators in Subpopulations |
| svystatQ | Estimation of Quantiles in Subpopulations |
| svystatR | Estimation of Ratios in Subpopulations |
| svystatS | Estimation of Shares in Subpopulations |
| svystatSR | Estimation of Share Ratios in Subpopulations |
| svystatTM | Estimation of Totals and Means in Subpopulations |
-- T --
| trimcal | Trim Calibration Weights while Preserving Calibration Constraints |
-- U --
| UWE | Unequal Weighting Effect |
-- V --
| VAR | Extractor Functions for Variability Statistics |
| VAR.default | Extractor Functions for Variability Statistics |
| VAR.svyDelta | Estimation of a Measure of Change from Two Not Necessarily Independent Samples |
| VAR.svySigma | Estimation of the Population Standard Deviation of a Variable |
| VAR.svySigma2 | Estimation of the Population Variance of a Variable |
| VAR.svystat.gr | Compute Many Estimates and Errors in Just a Single Shot |
| VAR.svystatB | Estimation of Population Regression Coefficients in Subpopulations |
| VAR.svystatB.by.list | Estimation of Population Regression Coefficients in Subpopulations |
| VAR.svystatL | Estimation of Complex Estimators in Subpopulations |
| VAR.svystatQ | Estimation of Quantiles in Subpopulations |
| VAR.svystatR | Estimation of Ratios in Subpopulations |
| VAR.svystatS | Estimation of Shares in Subpopulations |
| VAR.svystatSR | Estimation of Share Ratios in Subpopulations |
| VAR.svystatTM | Estimation of Totals and Means in Subpopulations |
| vcov.gvf.fit | Miscellanea: Methods for Fitted GVF Models |
| vcov.gvf.fit.gr | Miscellanea: Methods for Fitted GVF Models |
| vcov.gvf.fits | Miscellanea: Methods for Fitted GVF Models |
| vcov.gvf.fits.gr | Miscellanea: Methods for Fitted GVF Models |
-- W --
| weights | Retrieve Sampling Units Weights |
| weights.survey.design | Retrieve Sampling Units Weights |
| write.svystat | Export Survey Statistics |
-- Z --
| Zapsmall | Zapsmall Data Frame Columns and Numeric Vectors |
| Zapsmall.data.frame | Zapsmall Data Frame Columns and Numeric Vectors |
| Zapsmall.default | Zapsmall Data Frame Columns and Numeric Vectors |
-- misc --
| %into% | Compress Nested Factors |
| [.gvf.fits | Fit GVF Models |
| [[.gvf.fits | Fit GVF Models |