Optimal Design Emulators via Point Processes

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Documentation for package ‘demu’ version 0.3.0

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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.fast.seq Draw sequential samples from the conditional DPP given previously sampled points already in the design.
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.