stratallo
Optimum Sample Allocation in Stratified Sampling
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0.1 |
rolling linux/jammy R-4.5 | stratallo_3.0.1.tar.gz |
237.7 KiB |
3.0.1 |
rolling linux/noble R-4.5 | stratallo_3.0.1.tar.gz |
237.8 KiB |
3.0.1 |
rolling source/ R- | stratallo_3.0.1.tar.gz |
1.1 MiB |
3.0.1 |
latest linux/jammy R-4.5 | stratallo_3.0.1.tar.gz |
237.7 KiB |
3.0.1 |
latest linux/noble R-4.5 | stratallo_3.0.1.tar.gz |
237.8 KiB |
3.0.1 |
latest source/ R- | stratallo_3.0.1.tar.gz |
1.1 MiB |
3.0.1 |
2026-04-26 source/ R- | stratallo_3.0.1.tar.gz |
1.1 MiB |
3.0.1 |
2026-04-23 source/ R- | stratallo_3.0.1.tar.gz |
1.1 MiB |
3.0.1 |
2026-04-09 windows/windows R-4.5 | stratallo_3.0.1.zip |
245.0 KiB |
2.2.1 |
2025-04-20 source/ R- | stratallo_2.2.1.tar.gz |
1.0 MiB |