@envisim/sampling v0.1.2

@envisim/sampling

A TypeScript library for finite population sampling.

Installation

npm install @envisim/sampling

Usage

import { srswor } from "@envisim/sampling";

// Draw a sample of 5 units out of a population of 10, using simple random sampling without
// replacement
srswor(5, 10);

Available Designs

Basic designs

• Simple random sampling without replacement (srswor)
• Simple random sampling with replacement (srswr)
• Poisson sampling (poissonSampling)
• Conditional Poisson sampling (conditionalPoissonSampling)
• Probabilities proportional to size with replacement (ppswr)
• Systematic sampling (systematic)
• Systematic sampling with initial randomization of order (randomSystematic)
• Sampford (sampford)
• Pareto (pareto)
• Brewer (brewer)
• Random pivotal method (rpm)
• Sequential pivotal method (spm)

Spatially balanced designs

• Local pivotal method 1 (lpm1)
• Local pivotal method 2 (lpm2)
• Local correlated Poisson sampling (lcps)
• Spatially correlated Poisson sampling (scps)
• Spatially correlated Poisson sampling coordinated (scpsCoordinated)

Balanced designs

• Cube method (cube)

Doubly balanced designs

• Local cube method (localCube)

Utils

• NearestNeighbour
• inclusionProbabilities