Crate envisim_samplr

Design-based sampling methods, with a focus on spatially balanced and balanced sampling designs. Balanced sampling utilizes auxilliary information in order to obtain a sample where the Horvitz-Thompson (HT) estimator of the total of the auxilliary information equals the population total of the auxilliaries. This may be very efficient (yield relatively low variance) if there is a linear relationship between the auxilliaries and the variable of interest.

Spatially balanced sampling uses auxilliary information in order to obtain a sample that is well-spread in auxilliary space, as well as being balanced. The samples can then be seen as a miniature version of the population. This generally yields low variances for the variable of interest, if there is a general relationship between the auxilliaries and the variables of interest.

Modules

cube_method

Cube method designs

pivotal_method

Pivotal method designs

poisson

Poisson method designs

srs

Simple random sampling

systematic

Systematic sampling designs

unequal

Unequal probability sampling designs

Structs

SampleOptions

Enums

SamplingError

Sampling related error types

Type Aliases

Sampler