Optimal Design Emulators via Point Processes
demu is an open-source R package implementing a Gaussian process opt...
Calculate the correlation matrix according to the generalized Wendland...
Get variable ranges from a design matrix.
Make list of distance matrices for calculating GP correlation matrices...
Calculate the correlation matrix according to the Matern model with $...
Calculate the correlation matrix according to the Matern model with $...
Identify candidate points making up all marginal subprojections of an ...
Calculate the correlation matrix according to the squared exponential ...
Rescale a design matrix to the [0,1] hypercube.
Draw samples from the conditional DPP design emulator.
Draw sequential samples from the conditional DPP given previously samp...
Draw samples from the conditional DPP design emulator using a kmeans-b...
Subsample an observational dataset using the conditional DPP design em...
Draw samples from the conditional DPP design emulator using grid-based...
Draw samples from the conditional DPP design emulator.
Draw sequential samples from the conditional DPP given previously samp...
Unscale a matrix back to its original ranges.
Calculate the correlation matrix according to the Wendland1 model.
Calculate the correlation matrix according to the Wendland2 model.
Implements the Determinantal point process (DPP) based optimal design emulator described in Pratola, Lin and Craigmile (2018) <arXiv:1804.02089> for Gaussian process regression models. See <http://www.matthewpratola.com/software> for more information and examples.