stratallo: Optimum Sample Allocation in Stratified Sampling Schemes
Functions in this package provide solution to classical problem in
survey methodology - an optimum sample allocation in stratified sampling
schemes. In this context, the optimal allocation is in the classical
Tschuprov-Neyman's sense and it satisfies additional either lower or upper
bounds restrictions imposed on sample sizes in strata. There are few different
algorithms available to use, and one them is based on popular sample
allocation method that applies Neyman allocation to recursively reduced set of
strata.
This package also provides the function that computes a solution to the minimum
sample size allocation problem, which is a minor modification of the classical
optimium sample allocation. This problems lies in the determination
of a vector of strata sample sizes that minimizes total sample size, under
assumed fixed level of the pi-estimator's variance. As in the case of the
classical optimal allocation, the problem of minimum sample size allocation
can be complemented by imposing upper bounds constraints on sample sizes in
strata.
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