Function reference

init_py()
 'python' environment initialization

kernel()
 Initialize a Gaussian process node

Hetero()
 Initialize a heteroskedastic Gaussian likelihood node

Poisson()
 Initialize a Poisson likelihood node

NegBin()
 Initialize a negative Binomial likelihood node
GP, DGP, and Linked (D)GP Emulations
Functions to train, validate, and make predictions from GP, DGP, and Linked (D)GP emulators.

gp()
 Gaussian process emulator construction

dgp()
 Deep Gaussian process emulator construction

lgp()
 Linked (D)GP emulator construction

continue()
 Continue the training of a DGP emulator

combine()
 Combine layers

predict(<dgp>)
predict(<lgp>)
predict(<gp>)
 Predictions from GP, DGP, or linked (D)GP emulators

validate()
 Validate a constructed GP, DGP, or linked (D)GP emulator

plot(<dgp>)
plot(<lgp>)
plot(<gp>)
 Validation plots of a constructed GP, DGP, or linked (D)GP emulator
Sequential Design
Functions to implement sequential designs for (D)GP and bundles of (D)GP emulators.

design()
 Sequential design of a (D)GP emulator or a bundle of (D)GP emulators

alm()
 Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using ALM

mice()
 Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using MICE

vigf()
 Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using VIGF

pei()
 Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using PEI

update()
 Update a GP or DGP emulator

draw()
 Validation plots of a sequential design

pack()
 Pack GP and DGP emulators into a bundle

unpack()
 Unpack a bundle of (D)GP emulators

summary(<gp>)
summary(<dgp>)
summary(<lgp>)
 Summary of a constructed GP, DGP, or linked (D)GP emulator

write()
 Save the constructed emulator

read()
 Load the stored emulator

set_seed()
 Random seed generator

set_linked_idx()
 Set linked indices

set_imp()
 Reset number of imputations for a DGP emulator

window()
 Trim the sequences of model parameters of a DGP emulator

trace_plot()
 Plot of DGP model parameter traces

nllik()
 Calculate negative predicted loglikelihood