Multi-Objective Optimal Design of Experiments

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Documentation for package ‘MOODE’ version 1.0.1

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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.
point.swap Swapping points between the current design and candidate set
print.settings S3 print method
Search Searching for a multi-objective optimal completely randomised design.