R: Multi-Objective Optimal Design of Experiments

# Multi-Objective Optimal Design of Experiments

## Documentation for package ‘MOODE’ version 1.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

candidate_set_full | Forms the full candidate set of treatments for all polynomial terms
candidate_set_orth | Forms the orthonormalised full candidate set
candidate_trt_set | Forms the labelled candidate set of treatments
criteria.GD | Calculates the values of the Generalised Ds-criterion and its components
criteria.GDP | Calculates the values of the Generalised DPs-criterion and its components
criteria.GL | Calculates the values of the Generalised L-criterion and its components
criteria.GLP | Calculates the values of the Generalised LP-criterion and its components
criteria.mseD | Calculates the values of the MSE DPs-criterion and its components
criteria.mseL | Calculates the values of the MSE LP-criterion and its components
criteria.mseP | Calculates the values of the MSE DPs-criterion using the point prior for the MSE(D)-component estimation
criteria.values.G | Evaluating individual criteria of the designs, from the Generalized compound criteria (Goos et al. 2005; Egorova,~O. 2017)
criteria.values.mse | Evaluating individual criteria of the designs
mood | Setting up the parameters of a factorial experiment to search for multi-objective optimal completely randomised design.
Search | Searching for a multi-objective optimal completely randomised design.