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optedr: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models
Calculates D-, Ds-, A-, I- and L-optimal designs, weighted combinations of these via a Compound criterion, and KL-optimal designs for model discrimination, for non-linear single- and multi-factor models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Multi-factor models use design variables x1, x2, … with a named-list design space; single-factor models remain backward compatible. Compares designs via their efficiency, augments any design with a controlled efficiency loss, and provides efficient rounding functions to convert approximate designs to exact ones.
Package details |
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| Author | Carlos de la Calle-Arroyo [aut, cre] (ORCID: <https://orcid.org/0000-0002-5099-888X>), Jesús López-Fidalgo [aut] (ORCID: <https://orcid.org/0000-0001-7502-8188>), Licesio J. Rodríguez-Aragón [aut] (ORCID: <https://orcid.org/0000-0003-4970-3877>) |
| Maintainer | Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com> |
| License | GPL-3 |
| Version | 3.0.0 |
| URL | https://github.com/kezrael/optedr https://github.com/Kezrael/optedr |
| Package repository | View on CRAN |
| Installation |
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