Package: BAGofT 1.0.0
Jiawei Zhang
BAGofT: A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT)
The BAGofT assesses the goodness-of-fit of binary classifiers. Details can be found in Zhang, Ding and Yang (2021) <arxiv:1911.03063v2>.
Authors:
BAGofT_1.0.0.tar.gz
BAGofT_1.0.0.tar.gz(r-4.7-any)BAGofT_1.0.0.tar.gz(r-4.6-any)
BAGofT_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BAGofT/json (API)
| # Install 'BAGofT' in R: |
| install.packages('BAGofT', repos = c('https://cran.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:c73a182fb0. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 193 | ||
| linux-release-x86_64 | OK | 94 | ||
| wasm-release | OK | 100 |
Exports:BAGofTparRFtestGlmBitestGlmnettestRFtestXGboostVarImp
Dependencies:dcovrandomForestRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A Binary Regression Adaptive Goodness-of-fit Test (BAGofT) | BAGofT |
| Adaptive partition based on random forests | parRF |
| Testing binomial regressions | testGlmBi |
| Testing penalized logistic regressions | testGlmnet |
| Testing random forests | testRF |
| Testing XGboosts | testXGboost |
| Variable Importance | VarImp |