Model comparison for glms.
Compute replicate weights
Student performance in California schools
Compute survey bootstrap weights
Hadamard matrices
Confidence intervals for regression parameters
Estimated weights for missing data
Compress replicate weight matrix
US 2004 presidential election data at state or county level
Lay out tables of survey statistics
Calibration (GREG) estimators
Household crowding
Small survey example
Dimensions of survey designs
Standardised predictions (predictive margins) for regression models.
Association between leprosy and BCG vaccination
Cholesterol data from a US survey
Two-stage sample from MU284
Sample of obstetric hospitals
Experimental: Construct non-response weights
Open and close DBI connections
Calibration metrics
Specify Poisson sampling design
Deprecated implementation of quantiles
Paley-type Hadamard matrices
Wald test for a term in a regression model
Raking of replicate weight design
Salamander mating data set from McCullagh and Nelder (1989)
Small area estimation via basic area level model
Post-stratify a survey
Distribution of quadratic forms
Smooth via basic unit level model
Survival in cardiac arrest
Pseudo-Rsquareds
Survey statistics on subsets
Computations for survey variances
Cumulative Distribution Function
Sandwich variance estimator for glms
Take a stratified sample
Subset of survey
Compute variance from replicates
Specify survey design with replicate weights
Summary statistics for sample surveys
Options for the survey package
Confidence intervals for proportions
Factor analysis in complex surveys (experimental).
Survey sample analysis.
Contingency tables for survey data
Cronbach's alpha
Survey-weighted Cox models.
Survey-weighted generalised linear models.
Plots for survey data
Proportional odds and related models
Two-stage least-squares for instrumental variable regression
Histograms and boxplots
Linear and nonlinearconstrasts of survey statistics
Cohen's kappa for agreement
Estimate survival function.
Conditioning plots of survey data
Test of fit to known probabilities
Sampling-weighted principal component analysis
Predictive marginal means
Analyse plausible values in surveys
Analyse multiple imputations
Maximum pseudolikelihood estimation in complex surveys
Scatterplot smoothing and density estimation
Direct standardization within domains
Probability-weighted nonlinear least squares
Loglinear models
Compare survival distributions
Variance estimation for multistage surveys
Score tests in survey regression models
Quantile-quantile plots for survey data
One variable from the Youth Risk Behaviors Survey, 2015.
Design-based rank tests
Ratio estimation
Quantiles under complex sampling.
Compute variances by replicate weighting
Crossed effects and other sparse correlations
Trim sampling weights
Two-phase designs
Fit accelerated failure models to survey data
Design-based t-test
Add variables to a survey design
Survey design weights
Package sample and population size data
Update to the new survey design format
Barplots and Dotplots
Wrappers for specifying PPS designs
Extract standard errors
Convert a survey design to use replicate weights