Mapping-Based Additive Gaussian Process Models

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Documentation for package ‘magp’ version 0.12.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

magp2d_fit	Fit a MaGP model with a two-dimensional sequence map
magp2d_rmse	Calculate root-mean-squared prediction error
magpfull_fit	Fit a MaGP model with a full sequence map
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
predict.magp	Predict outcomes from a fitted MaGP model
predict.magp2d	Predict outcomes from a fitted MaGP model
predict.magpfull	Predict outcomes from a fitted MaGP model
print.magp2d	Summarize a fitted two-dimensional MaGP model
print.magpfull	Summarize a fitted full-mapping 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