# Optimal Design Emulators via Point Processes

## Documentation for package ‘demu’ version 0.3.0

- DESCRIPTION file.

## Help Pages

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.