Survey Sampling
Balanced cluster
Balanced stratification
Balanced two-stage sampling
g-weights of the calibration estimator
Calibration estimator and its variance estimation
Check calibration
Clean strata
Cluster sampling
Disjunctive combination
Fast flight phase for the cube method
g-weights of the generalized calibration estimator
Get data
The Hajek estimator
The Hajek estimator for a stratified design
The Horvitz-Thompson estimator
The Horvitz-Thompson estimator for a stratified design
Inclusion probabilities
Inclusion probabilities for a stratified design
Landing phase for the cube method
Multistage sampling
Poststratified estimator
Postratification
Ratio estimator
Ratio estimator for a stratified design
Regression estimator
Regression estimator for a stratified design
Response homogeneity groups
Response homogeneity groups for a stratified sampling
Response probability using logistic regression
Sample cube method
Internal sampling Functions
Simple random sampling without replacement
Selection-rejection method
Simple random sampling with replacement
Stratified sampling
Brewer sampling
Maximum entropy sampling
Midzuno sampling
Joint inclusion probabilities for Midzuno sampling
Minimal support sampling
Multinomial sampling
Order pips sampling
Pivotal sampling
Poisson sampling
Random pivotal sampling
Random systematic sampling
Sampford sampling
Joint inclusion probabilities for Sampford sampling
Systematic sampling
Joint inclusion probabilities for systematic sampling
Tille sampling
Joint inclusion probabilties for Tille sampling
Variance estimation using the Deville's method
Variance estimators of the Horvitz-Thompson estimator
Taylor-series linearization variance estimation of a ratio
All possible samples of fixed size
Functions to draw random samples using different sampling schemes are available. Functions are also provided to obtain (generalized) calibration weights, different estimators, as well some variance estimators.