Learner Outcomes: | Getting Started: Setup and Data Processing | Specifying and Fitting the Model
Package: zoomerGP 0.0.0.9000
zoomerGP: Fast, composable Gaussian Processes in R.
Fast, composable Gaussian Processes in R.
Authors:
zoomerGP_0.0.0.9000.tar.gz
zoomerGP_0.0.0.9000.tgz(r-4.6-x86_64)zoomerGP_0.0.0.9000.tgz(r-4.6-arm64)zoomerGP_0.0.0.9000.tgz(r-4.5-x86_64)zoomerGP_0.0.0.9000.tgz(r-4.5-arm64)
zoomerGP_0.0.0.9000.tar.gz(r-4.7-arm64)zoomerGP_0.0.0.9000.tar.gz(r-4.7-x86_64)zoomerGP_0.0.0.9000.tar.gz(r-4.6-arm64)zoomerGP_0.0.0.9000.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
zoomerGP/json (API)
| # Install 'zoomerGP' in R: |
| install.packages('zoomerGP', repos = c('https://beniaminogreen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/beniaminogreen/zoomergp/issues
Last updated from:dea14b3651. Checks:8 WARNING, 1 OK, 4 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 186 | ||
| linux-devel-x86_64 | WARNING | 179 | ||
| source / vignettes | OK | 245 | ||
| linux-release-arm64 | WARNING | 184 | ||
| linux-release-x86_64 | WARNING | 228 | ||
| macos-release-arm64 | WARNING | 120 | ||
| macos-release-x86_64 | WARNING | 430 | ||
| macos-oldrel-arm64 | WARNING | 149 | ||
| macos-oldrel-x86_64 | WARNING | 451 | ||
| windows-devel | FAIL | 167 | ||
| windows-release | FAIL | 125 | ||
| windows-oldrel | FAIL | 170 | ||
| wasm-release | FAIL | 174 |
Exports:gaussian_processlogistic_gaussian_process
Dependencies:cachemclicpp11farverfastmapggplot2gluegtableisobandlabelinglifecyclememoiseR6RColorBrewerrgenoudrlangS7scalestidyselectvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a Gaussian process in R | gaussian_process |
| Fit a logistic Gaussian process in R for a binary outcome | logistic_gaussian_process |
| Plot Gaussian Process Fit | plot.gaussian_process |
| Predict Function Values at a Test Point | predict.gaussian_process |
| Print information about a Gaussian Process | print.gaussian_process |
| Get Residuals for Gaussian Process | residuals.gaussian_process |
