survey

Wrappers for specifying PPS designs

Extract standard errors

Model comparison for glms.

Student performance in California schools

Package sample and population size data

Convert a survey design to use replicate weights

Update to the new survey design format

Barplots and Dotplots

Compute survey bootstrap weights

Compute replicate weights

Calibration (GREG) estimators

Compress replicate weight matrix

Confidence intervals for regression parameters

Household crowding

Dimensions of survey designs

US 2004 presidential election data at state or county level

Estimated weights for missing data

Small survey example

Lay out tables of survey statistics

Hadamard matrices

Sample of obstetric hospitals

Calibration metrics

Standardised predictions (predictive margins) for regression models.

Two-stage sample from MU284

Cholesterol data from a US survey

Experimental: Construct non-response weights

Open and close DBI connections

Paley-type Hadamard matrices

Distribution of quadratic forms

Post-stratify a survey

Pseudo-Rsquareds

Raking of replicate weight design

Wald test for a term in a regression model

Survival in cardiac arrest

Take a stratified sample

Subset of survey

Options for the survey package

Summary statistics for sample surveys

Compute variance from replicates

Specify survey design with replicate weights

Sandwich variance estimator for glms

Computations for survey variances

Survey statistics on subsets

Cumulative Distribution Function

Contingency tables for survey data

Confidence intervals for proportions

Linear and nonlinearconstrasts of survey statistics

Conditioning plots of survey data

Survey-weighted Cox models.

Cronbach's alpha

Survey sample analysis.

Factor analysis in complex surveys (experimental).

Survey-weighted generalised linear models.

Histograms and boxplots

Two-stage least-squares for instrumental variable regression

Cohen's kappa for agreement

Estimate survival function.

Loglinear models

Compare survival distributions

Maximum pseudolikelihood estimation in complex surveys

Probability-weighted nonlinear least squares

Proportional odds and related models

Plots for survey data

Sampling-weighted principal component analysis

Predictive marginal means

Quantiles for sample surveys

Design-based rank tests

Ratio estimation

Variance estimation for multistage surveys

Scatterplot smoothing and density estimation

Direct standardization within domains

Fit accelerated failure models to survey data

Design-based t-test

Trim sampling weights

Two-phase designs

Add variables to a survey design

Survey design weights

Analyse multiple imputations

Analyse plausible values in surveys

Compute variances by replicate weighting

One variable from the Youth Risk Behaviors Survey, 2015.