survey v3.9-1


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by Thomas Lumley

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 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. 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. 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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License GPL-2 | GPL-3
Packaged Thu Sep 11 15:32:07 2008; tlumley

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