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