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 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 problem 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.

Package details

AuthorWojciech Wójciak [aut, cre], Jacek Wesołowski [sad], Robert Wieczorkowski [ctb]
MaintainerWojciech Wójciak <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the stratallo package in your browser

Any scripts or data that you put into this service are public.

stratallo documentation built on Sept. 13, 2022, 5:05 p.m.