AlgDesign

R package AlgDesign: Algorithmic Experimental Design. Algorithmic experimental designs. Calculates exact and approximate theory experimental designs for D,A, and I criteria. Very large designs may be created. Experimental designs may be blocked or blocked designs created from a candidate list, using several criteria. The blocking can be done when whole and within plot factors interact.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 7 articles )

Showing results 1 to 7 of 7.
Sorted by year (citations)

  1. Tsai, Shin-Fu: Generating optimal order-of-addition designs with flexible run sizes (2022)
  2. Tyler Morgan-Wall, George Khoury: Optimal Design Generation and Power Evaluation in R: The skpr Package (2021) not zbMATH
  3. Frits Traets, Daniel Gil Sanchez, Martina Vandebroek: Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package (2020) not zbMATH
  4. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018) not zbMATH
  5. Antony Overstall, David Woods, Maria Adamou: acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange (2017) arXiv
  6. John Lawson, Cameron Willden: Mixture Experiments in R Using mixexp (2016) not zbMATH
  7. Pieter Schoonees and Niël le Roux and Roelof Coetzer: Flexible Graphical Assessment of Experimental Designs in R: The vdg Package (2016) not zbMATH