Optimal Design Emulators via Point Processes


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Documentation for package ‘demu’ version 0.2.0

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demu-package 'demu' is an open-source R package implementing a Gaussian process optimal design emulator based on Determinantal point processes.
generalized.wendland Calculate the correlation matrix according to the generalized Wendland model.
getranges Get variable ranges from a design matrix.
makedistlist Make list of distance matrices for calculating GP correlation matrices.
matern32 Calculate the correlation matrix according to the Matern model with nu=3/2.
matern52 Calculate the correlation matrix according to the Matern model with nu=5/2.
remove.projections Identify candidate points making up all marginal subprojections of an existing design.
rhomat Calculate the correlation matrix according to the squared exponential family of models.
scaledesign Rescale a design matrix to the [0,1] hypercube.
sim.dpp.modal Draw samples from the conditional DPP design emulator.
sim.dpp.modal.fast Draw samples from the conditional DPP design emulator.
sim.dpp.modal.np Draw samples from the conditional DPP design emulator using a kmeans-based Nystrom approximation.
sim.dpp.modal.nystrom Draw samples from the conditional DPP design emulator using grid-based Nystrom approximation.
sim.dpp.modal.nystrom.kmeans Subsample an observational dataset using the conditional DPP design emulator with a kmeans-based Nystrom approximation.
sim.dpp.modal.seq Draw sequential samples from the conditional DPP given previously sampled points already in the design.
unscalemat Unscale a matrix back to its original ranges.
wendland1 Calculate the correlation matrix according to the Wendland1 model.
wendland2 Calculate the correlation matrix according to the Wendland2 model.