Package: TAG 0.5.1

TAG: Transformed Additive Gaussian Processes

Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) <doi:10.1080/00401706.2019.1665592>. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions. This research is supported by a U.S. National Science Foundation grant DMS-1712642 and a U.S. Army Research Office grant W911NF-17-1-0007.

Authors:Li-Hsiang Lin and V. Roshan Joseph

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9 exports 5.28 score 18 dependencies 66 mentions 100 scripts 256 downloads

Last updated 3 years agofrom:27fb769e41. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:check.TAAGcv.TAAGinitial.TAGplotTAGpred.TAAGpred.TAGTAAGTAGTAG1step

Dependencies:codetoolsDiceKrigingFastGPforeachiteratorslatticeMASSMatrixmgcvmlegpmvtnormnlmerandtoolboxrbenchmarkRcppRcppArmadilloRcppEigenrngWELL