Package: calibrateBinary 0.1
calibrateBinary: Calibration for Computer Experiments with Binary Responses
Performs the calibration procedure proposed by Sung et al. (2018+) <arxiv:1806.01453>. This calibration method is particularly useful when the outputs of both computer and physical experiments are binary and the estimation for the calibration parameters is of interest.
Authors:
calibrateBinary_0.1.tar.gz
calibrateBinary_0.1.zip(r-4.5)calibrateBinary_0.1.zip(r-4.4)calibrateBinary_0.1.zip(r-4.3)
calibrateBinary_0.1.tgz(r-4.4-any)calibrateBinary_0.1.tgz(r-4.3-any)
calibrateBinary_0.1.tar.gz(r-4.5-noble)calibrateBinary_0.1.tar.gz(r-4.4-noble)
calibrateBinary_0.1.tgz(r-4.4-emscripten)calibrateBinary_0.1.tgz(r-4.3-emscripten)
calibrateBinary.pdf |calibrateBinary.html✨
calibrateBinary/json (API)
# Install 'calibrateBinary' in R: |
install.packages('calibrateBinary', repos = c('https://chihli.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 6 years agofrom:14e1a06968. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | OK | Nov 22 2024 |
R-4.5-linux | OK | Nov 22 2024 |
R-4.4-win | OK | Nov 22 2024 |
R-4.4-mac | OK | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Exports:calibrateBinarycv.KLRKLR
Dependencies:gelnetGPfitkernlablatticelhsrandtoolboxRcpprngWELL
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calibration for Binary Outputs | calibrateBinary |
K-fold cross-validation for Kernel Logistic Regression | cv.KLR |
Kernel Logistic Regression | KLR |