# survey v3.9-1

0

Monthly downloads

## 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 | |

No Results! |

## Last month downloads

## 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 |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/survey)](http://www.rdocumentation.org/packages/survey)
```