Run Orders with Assignment-Expansion Method
Overview
It enables the identification of sequentialexperimentation orders for factorial designs that jointly reduce bias and the number of level changes. The method used is that presented by Conto et al. (2025), known as the Assignment-Expansion method, which consists of adapting the linear programming assignment problem to generate balanced experimentation orders. The properties identified are then generalized to designs with a larger number of factors and levels using the expansion method proposed by Correa et al. (2009) and later generalized by Bhowmik et al. (2017). For more details see Conto et al. (2025) doi:10.1016/j.cie.2024.110844, Correa et al. (2009) doi:10.1080/02664760802499337 and Bhowmik et al. (2017) doi:10.1080/03610926.2016.1152490.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 2
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/romariocontol/rob on 2026-10-21.
Dependencies
Installing rob adds 2 packages (0 with compiled code, 8.7 KB of source tarballs). Heaviest: minimalRSD 4.6 KB, FMC 4.1 KB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2025-04-22 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-04-22
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 7.6 KB
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