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