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