Design-based t-test
Analyse multiple imputations
Direct standardization within domains
Model comparison for glms.
Wrappers for specifying PPS designs
Student performance in California schools
Extract standard errors
Calibration (GREG) estimators
Compress replicate weight matrix
Cholesterol data from a US survey
Lay out tables of survey statistics
Hadamard matrices
Experimental: Construct non-response weights
Open and close DBI connections
Compute variance from replicates
Specify survey design with replicate weights
Paley-type Hadamard matrices
Survey-weighted Cox models.
Survey sample analysis.
Estimate survival function.
Variance estimation for multistage surveys
Take a stratified sample
Add variables to a survey design
Package sample and population size data
Loglinear models
Convert a survey design to use replicate weights
Survey design weights
Sampling-weighted principal component analysis
Subset of survey
Survey statistics on subsets
Cumulative Distribution Function
Compare survival distributions
Maximum pseudolikelihood estimation in complex surveys
Confidence intervals for regression parameters
Fit accelerated failure models to survey data
One variable from the Youth Risk Behaviors Survey, 2015.
Predictive marginal means
Household crowding
Trim sampling weights
Standardised predictions (predictive margins) for regression models.
Two-stage sample from MU284
Pseudo-Rsquareds
Raking of replicate weight design
Contingency tables for survey data
Confidence intervals for proportions
Proportional odds and related models
Plots for survey data
Scatterplot smoothing and density estimation
Compute variances by replicate weighting
Compute survey bootstrap weights
Compute replicate weights
Update to the new survey design format
Barplots and Dotplots
Estimated weights for missing data
Dimensions of survey designs
US 2004 presidential election data at state or county level
Small survey example
Distribution of quadratic forms
Sample of obstetric hospitals
Post-stratify a survey
Calibration metrics
Wald test for a term in a regression model
Survival in cardiac arrest
Sandwich variance estimator for glms
Options for the survey package
Computations for survey variances
Summary statistics for sample surveys
Factor analysis in complex surveys (experimental).
Design-based rank tests
Survey-weighted generalised linear models.
Quantiles for sample surveys
Linear and nonlinearconstrasts of survey statistics
Conditioning plots of survey data
Histograms and boxplots
Cohen's kappa for agreement
Ratio estimation
Two-phase designs