survey v3.9-1
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analysis of complex survey samples
Summary statistics, generalised linear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase designs. Graphics.
Functions in survey
| Name | Description | |
| as.fpc | Package sample and population size data | |
| api | Student performance in California schools | |
| crowd | Household crowding | |
| calibrate | G-calibration (GREG) estimators | |
| svy.varcoef | Sandwich variance estimator for glms | |
| svyrecvar | Variance estimation for multistage surveys | |
| svymle | Maximum pseudolikelihood estimation in complex surveys | |
| rake | Raking of replicate weight design | |
| svycoxph | Survey-weighted Cox models. | |
| svyhist | Histograms and boxplots | |
| svykappa | Cohen's kappa for agreement | |
| svyquantile | Quantiles for sample surveys | |
| paley | Paley-type Hadamard matrices | |
| twophase | Two-phase designs | |
| regTermTest | Wald test for a term in a regression model | |
| svysmooth | Scatterplot smoothing and density estimation | |
| surveyoptions | Options for the survey package | |
| subset.survey.design | Subset of survey | |
| open.DBIsvydesign | Open and close DBI connections | |
| SE | Extract standard errors | |
| svrepdesign | Specify survey design with replicate weights | |
| pchisqsum | Distribution of quadratic forms | |
| brrweights | Compute replicate weights | |
| svydesign | Survey sample analysis. | |
| update.survey.design | Add variables to a survey design | |
| svytable | Contingency tables for survey data | |
| withReplicates | Compute variances by replicate weighting | |
| hadamard | Hadamard matrices | |
| with.svyimputationList | Analyse multiple imputations | |
| svyolr | Proportional odds and related models | |
| svykm | Estimate survival function. | |
| weights.survey.design | Survey design weights | |
| as.svydesign2 | Update to the new survey design format | |
| mu284 | Two-stage sample from MU284 | |
| svyby | Survey statistics on subsets | |
| postStratify | Post-stratify a survey | |
| svyglm | Survey-weighted generalised linear models. | |
| bootweights | Compute survey bootstrap weights | |
| make.calfun | Calibration metrics | |
| svycoplot | Conditioning plots of survey data | |
| svrVar | Compute variance from replicates | |
| svyplot | Plots for survey data | |
| svyratio | Ratio estimation | |
| estweights | Estimated weights for missing data | |
| svycontrast | Linear constrasts of survey statistics | |
| surveysummary | Summary statistics for sample surveys | |
| as.svrepdesign | Convert a survey design to use replicate weights | |
| compressWeights | Compress replicate weight matrix | |
| svyCprod | Computations for survey variances | |
| ftable.svystat | Lay out tables of survey statistics | |
| svycdf | Cumulative Distribution Function | |
| nonresponse | Experimental: Construct non-response weights | |
| fpc | Small survey example | |
| hospital | Sample of obstetric hospitals | |
| scd | Survival in cardiac arrest | |
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Details
| License | GPL-2 | GPL-3 |
| URL | http://faculty.washington.edu/tlumley/survey/ |
| Packaged | Thu Sep 11 15:32:07 2008; tlumley |
| depends | base (>= 2.2.0) , R (>= 2.2.0) |
| suggests | hexbin , KernSmooth , lattice , MASS , mitools , RODBC , RSQLite , survival |
| Contributors | Thomas Lumley |
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