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