Package ‘survey’ July 19, 2021 Title Analysis of Complex Survey Samples Description Summary statistics, two-sample tests, rank tests, generalised linear models, cumula- tive link models, Cox models, loglinear models, and general maximum pseudolikelihood estima- tion for multistage stratified, cluster-sampled, unequally weighted survey samples. Vari- ances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and rak- ing. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Version 4.1-1 Author Thomas Lumley Maintainer ``Thomas Lumley'' <[email protected]> License GPL-2 | GPL-3 Depends R (>= 3.5.0), grid, methods, Matrix, survival Imports stats, graphics, splines, lattice, minqa, numDeriv, mitools (>= 2.4) Suggests foreign, MASS, KernSmooth, hexbin, RSQLite, quantreg, parallel, CompQuadForm, DBI, AER URL http://r-survey.r-forge.r-project.org/survey/ NeedsCompilation no Repository CRAN Date/Publication 2021-07-19 08:40:04 UTC R topics documented: anova.svyglm . .3 api..............................................6 as.fpc . .8 as.svrepdesign . .9 as.svydesign2 . 11 barplot.svystat . 12 bootweights . 13 brrweights . 14 calibrate . 17 1 2 R topics documented: compressWeights . 23 confint.svyglm . 24 crowd ............................................ 25 dimnames.DBIsvydesign . 26 election . 27 estweights . 28 fpc.............................................. 30 ftable.svystat . 31 hadamard . 32 hospital . 34 HR.............................................. 35 make.calfun . 36 marginpred . 37 mu284 . 38 newsvyquantile . 39 nhanes . 42 nonresponse . 42 oldsvyquantile . 44 open.DBIsvydesign . 47 paley............................................. 48 pchisqsum . 50 poisson_sampling . 51 postStratify . 52 psrsq . 54 rake ............................................. 55 regTermTest . 57 scd.............................................. 59 SE.............................................. 60 stratsample . 61 subset.survey.design . 62 surveyoptions . 63 surveysummary . 64 svrepdesign . 67 svrVar . 71 svy.varcoef . 72 svyby . 72 svycdf . 76 svyciprop . 77 svycontrast . 79 svycoplot . 81 svycoxph . 82 svyCprod . 84 svycralpha . 86 svydesign . 87 svyfactanal . 90 svyglm . 91 svygofchisq . 95 svyhist . 96 anova.svyglm 3 svyivreg . 97 svykappa . 98 svykm . 99 svyloglin . 101 svylogrank . 103 svymle . 104 svynls . 108 svyolr . 109 svyplot . 110 svyprcomp . 112 svypredmeans . 113 svyqqplot . 115 svyranktest . 116 svyratio . 117 svyrecvar . 120 svysmooth . 122 svystandardize . 124 svysurvreg . 125 svytable . 126 svyttest . 129 trimWeights . 130 twophase . 131 update.survey.design . 134 weights.survey.design . 136 with.svyimputationList . 137 withPV.survey.design . 138 withReplicates . 139 yrbs ............................................. 142 Index 143 anova.svyglm Model comparison for glms. Description A method for the anova function, for use on svyglm objects. With a single model argument it produces a sequential anova table, with two arguments it compares the two models. Usage ## S3 method for class 'svyglm' anova(object, object2 = NULL, test = c("F", "Chisq"), method = c("LRT", "Wald"), tolerance = 1e-05, ..., force = FALSE) ## S3 method for class 'svyglm' AIC(object,...,k=2, null_has_intercept=TRUE) ## S3 method for class 'svyglm' BIC(object,...,maximal) 4 anova.svyglm ## S3 method for class 'svyglm' extractAIC(fit,scale,k=2,..., null_has_intercept=TRUE) ## S3 method for class 'svrepglm' extractAIC(fit,scale,k=2,..., null_has_intercept=TRUE) Arguments object,fit A svyglm object. object2 Optionally, another svyglm object. test Use (linear combination of) F or chi-squared distributions for p-values. F is usually preferable. method Use weighted deviance difference (LRT) or Wald tests to compare models tolerance For models that are not symbolically nested, the tolerance for deciding that a term is common to the models. ... For AIC and BIC, optionally more svyglm objects scale not used null_has_intercept Does the.