Nothing
MOODE: Multi-Objective Optimal Design of Experiments
Provides functionality to generate compound optimal designs for targeting the multiple experimental objectives directly, ensuring that the full set of research questions is answered as economically as possible. Designs can be found using point or coordinate exchange algorithms combining estimation, inference and lack-of-fit criteria that account for model inadequacy. Details and examples are given by Koutra et al. (2024) <doi:10.48550/arXiv.2412.17158>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Vasiliki Koutra [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-1117-4554>), Olga Egorova [aut, cph], Steven Gilmour [aut, cph], Luzia Trinca [aut, cph] |
| Maintainer | Vasiliki Koutra <vasiliki.koutra@kcl.ac.uk> |
| License | GPL (>= 3) |
| Version | 1.1.0 |
| URL | https://github.com/vkstats/MOODE |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the MOODE package in your browser
Any scripts or data that you put into this service are public.
