Summary statistics, two-sample tests, rank tests, generalised linear models,
cumulative link models, Cox models, loglinear models, and
general maximum pseudolikelihood estimation for multistage stratified,
cluster-sampled, unequally weighted survey samples.
Variances by Taylor series linearisation or replicate weights.
Post-stratification, calibration, and raking.
Two-phase subsampling designs. Graphics. PPS sampling without replacement.
In large scale surveys, often complex random mechanisms are used to select samples.
Estimations obtained from such samples must reflect the random mechanism to ensure accurate calculations.
samplics implements a set of sampling techniques for complex survey designs.
The template provided by the PNAS Article template in the rticles package makes
it very easy and convenient to create attractive looking two-column papers.
