Function reference
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init_py()
- 'python' environment initialization
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kernel()
- Initialize a Gaussian process node
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Hetero()
- Initialize a heteroskedastic Gaussian likelihood node
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Poisson()
- Initialize a Poisson likelihood node
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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.
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gp()
- Gaussian process emulator construction
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dgp()
- Deep Gaussian process emulator construction
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lgp()
- Linked (D)GP emulator construction
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continue()
- Continue the training of a DGP emulator
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combine()
- Combine layers
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predict(<dgp>)
predict(<lgp>)
predict(<gp>)
- Predictions from GP, DGP, or linked (D)GP emulators
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validate()
- Validate a constructed GP, DGP, or linked (D)GP emulator
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plot(<dgp>)
plot(<lgp>)
plot(<gp>)
- Validation plots of a constructed GP, DGP, or linked (D)GP emulator
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prune()
- Static pruning of a DGP emulator
Sequential Design
Functions to implement sequential designs for (D)GP and bundles of (D)GP emulators.
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design()
- Sequential design of a (D)GP emulator or a bundle of (D)GP emulators
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alm()
- Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using ALM
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mice()
- Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using MICE
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vigf()
- Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using VIGF
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pei()
- Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using PEI
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update()
- Update a GP or DGP emulator
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draw()
- Validation plots of a sequential design
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pack()
- Pack GP and DGP emulators into a bundle
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unpack()
- Unpack a bundle of (D)GP emulators
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summary(<gp>)
summary(<dgp>)
summary(<lgp>)
- Summary of a constructed GP, DGP, or linked (D)GP emulator
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write()
- Save the constructed emulator
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read()
- Load the stored emulator
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set_seed()
- Random seed generator
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set_linked_idx()
- Set linked indices
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set_imp()
- Reset number of imputations for a DGP emulator
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window()
- Trim the sequences of model parameters of a DGP emulator
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trace_plot()
- Plot of DGP model parameter traces
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nllik()
- Calculate negative predicted log-likelihood