magp2d_fit              Fit a MaGP model with a two-dimensional
                        sequence map
magp2d_rmse             Calculate root-mean-squared prediction error
magp_bayes_optimize     Continue Bayesian optimization from completed
                        experiments
magp_bayes_optimize_from_scratch
                        Start Bayesian optimization before any
                        experiments have been run
magp_expected_improvement
                        Score candidate experiments with expected
                        improvement
magp_initial_design     Construct a quantitative-sequence initial
                        design
magp_joint_criterion    Evaluate a complete quantitative-sequence
                        initial design
magp_next_point         Select the next quantitative-sequence
                        experiment
magp_quantitative_criterion
                        Evaluate a quantitative Latin hypercube
magp_quantitative_design
                        Construct the quantitative portion of an
                        initial design
magp_sequence_criterion
                        Evaluate a sequence initial design
magp_sequence_design    Construct the sequence portion of an initial
                        design
magpfull_fit            Fit a MaGP model with a full sequence map
predict.magp            Predict outcomes from a fitted MaGP model
print.magp2d            Summarize a fitted two-dimensional MaGP model
print.magp_bayes_opt    Print a MaGP Bayesian optimization result
print.magp_initial_design
                        Print a quantitative-sequence initial design
print.magp_next_point   Print a MaGP acquisition-search result
print.magp_quantitative_design
                        Print a quantitative initial design
print.magp_sequence_design
                        Print a sequence initial design
print.magpfull          Summarize a fitted full-mapping MaGP model
