| Name : R-stratallo
| |
| Version : 2.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:32:40
|
| Group : Development/Libraries/Other
| Source RPM : R-stratallo-2.2.1-lp153.1.4.src.rpm
|
| Size : 0.21 MB
| |
| Packager : (none)
| |
| Summary : Optimum Sample Allocation in Stratified Sampling
|
Description :
Functions in this package provide solution to classical problem in
survey methodology - an optimum sample allocation in stratified
sampling. In this context, the optimum allocation is in the classical
Tschuprow-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 cost allocation problem, which is a
minor modification of the classical optimum sample allocation. This
problem lies in the determination of a vector of strata sample sizes
that minimizes total cost of the survey, under assumed fixed level of
the stratified estimator\'s variance. As in the case of the classical
optimum allocation, the problem of minimum cost allocation can be
complemented by imposing upper-bounds constraints on sample sizes in
strata.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
