Package: TAG 0.7.1
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:
TAG_0.7.1.tar.gz
TAG_0.7.1.zip(r-4.7)TAG_0.7.1.zip(r-4.6)TAG_0.7.1.zip(r-4.5)
TAG_0.7.1.tgz(r-4.6-x86_64)TAG_0.7.1.tgz(r-4.6-arm64)TAG_0.7.1.tgz(r-4.5-x86_64)TAG_0.7.1.tgz(r-4.5-arm64)
TAG_0.7.1.tar.gz(r-4.7-arm64)TAG_0.7.1.tar.gz(r-4.7-x86_64)TAG_0.7.1.tar.gz(r-4.6-arm64)TAG_0.7.1.tar.gz(r-4.6-x86_64)
TAG_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TAG/json (API)
| # Install 'TAG' in R: |
| install.packages('TAG', repos = c('https://geauxsl.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8be27154a5. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 141 | ||
| linux-devel-x86_64 | OK | 153 | ||
| source / vignettes | OK | 172 | ||
| linux-release-arm64 | OK | 163 | ||
| linux-release-x86_64 | OK | 141 | ||
| macos-release-arm64 | OK | 205 | ||
| macos-release-x86_64 | OK | 224 | ||
| macos-oldrel-arm64 | OK | 189 | ||
| macos-oldrel-x86_64 | OK | 240 | ||
| windows-devel | OK | 151 | ||
| windows-release | OK | 161 | ||
| windows-oldrel | OK | 120 | ||
| wasm-release | OK | 104 |
Exports:check.TAAGcv.TAAGinitial.TAGplotTAGpred.TAAGpred.TAGTAAGTAGTAG1step
Dependencies:codetoolsDiceKrigingFastGPforeachiteratorslatticeMASSMatrixmgcvmlegpmvtnormnlmerandtoolboxRcppRcppArmadilloRcppEigenrngWELL
