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stratallo

Optimum Sample Allocation in Stratified Sampling

v3.0.1 · Mar 12, 2026 · GPL-2

Description

Provides exact analytical algorithms for computing optimum sample allocations in stratified sampling. Supports classical Neyman-Tschuprow allocation, minimum-cost allocation under a variance constraint, and multi-domain allocation with controlled precision. Handles lower and upper bounds, cost constraints, and multiple domains. Includes helper functions for variance computation, allocation summaries, rounding, and example datasets for testing and benchmarking.

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14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies checkmate lifecycle Rdpack stratallo

Version History

updated 3.0.1 ← 3.0.0 diff Mar 13, 2026
updated 3.0.0 ← 2.2.1 diff Mar 12, 2026
new 2.2.1 Mar 10, 2026
updated 2.2.1 ← 2.2.0 diff Nov 26, 2023
updated 2.2.0 ← 2.1.0 diff Jun 24, 2023
updated 2.1.0 ← 2.0.1 diff Sep 12, 2022
updated 2.0.1 ← 2.0.0 diff Apr 12, 2022
updated 2.0.0 ← 0.1.0 diff Apr 11, 2022
new 0.1.0 May 24, 2020