Introduction | Installation | Model | Interpreting the parameters | Weak-signal interpretation | Simulate, fit, and predict | Built-in NHANES data | Sampling-weighted fitting | Main functions | References
Package: mvboxcox 0.1.4
mvboxcox: Bivariate Logistic Box-Cox Regression
Fits bivariate logistic Box-Cox regression models for binary outcomes and positive continuous predictors. Transformation parameters are selected by cross-validated grid search with adaptive refinement and thin-plate spline smoothing. The package also provides prediction, empirical and sampling-weighted median effects, simulation tools, and sampling-weighted model fitting. The methodology extends the logistic Box-Cox approach of Xing et al. (2021) <doi:10.1002/cjs.11587>.
Authors:
mvboxcox_0.1.4.tar.gz
mvboxcox_0.1.4.zip(r-4.7-any)mvboxcox_0.1.4.zip(r-4.6-any)mvboxcox_0.1.4.zip(r-4.5-any)
mvboxcox_0.1.4.tgz(r-4.6-any)mvboxcox_0.1.4.tgz(r-4.5-any)
mvboxcox_0.1.4.tar.gz(r-4.7-any)mvboxcox_0.1.4.tar.gz(r-4.6-any)
mvboxcox_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mvboxcox/json (API)
| # Install 'mvboxcox' in R: |
| install.packages('mvboxcox', repos = c('https://ubcxzhang.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- depress - NHANES Depression and Blood Metals Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:085a62e9f9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 135 | ||
| source / vignettes | OK | 222 | ||
| linux-release | OK | 131 | ||
| macos-release | OK | 112 | ||
| macos-oldrel | OK | 99 | ||
| windows-devel | OK | 81 | ||
| windows-release | OK | 85 | ||
| windows-oldrel | OK | 65 | ||
| wasm-release | OK | 111 |
Exports:ldmvbc.fullformulamvbc.glm.stepmvbc.median.effectmvbc.optimizermvbc.predictmvbc.simulatormvbc.testermvbc.trainmvbc.trainermvbc.trainer.fitmvbc.trainer.predict.p_hatmvbc.trainer.predict.Ybin_hatmvbc.trainer.ssr
Dependencies:dotCall64fieldsmapsRColorBrewerRcppspamviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| NHANES Depression and Blood Metals Data | depress |
| Boxcox transformation | ld |
| Build the full Box-Cox model formula | mvbc.fullformula |
| Single train/test glm fit at a fixed lambda | mvbc.glm.step |
| Median effects from a fitted BLBC model | mvbc.median.effect |
| Optimizer | mvbc.optimizer |
| Predict probability from a trained 'mvbc.train.model' | mvbc.predict |
| Simulator | mvbc.simulator |
| Tester | mvbc.tester |
| Train | mvbc.train |
| Trainer | mvbc.trainer |
| Workhorse to fit instance of 'mvbc.trainer.model' | mvbc.trainer.fit |
| Predict probability | mvbc.trainer.predict.p_hat |
| Predict outcomes | mvbc.trainer.predict.Ybin_hat |
| Sum of Squares residuals | mvbc.trainer.ssr |
| Plot instance of 'mvbc.sim.result' | plot.mvbc.sim.result |
| Plot instance of 'mvbc.tester.result' | plot.mvbc.tester.result |
| Summarize instance of 'mvbc.sim.result' | summary.mvbc.sim.result |
| Summarize instance of 'mvbc.simulator.model' | summary.mvbc.simulator.model |
| Summarize instance of 'mvbc.tester.result' | summary.mvbc.tester.result |
| Summarize instance of 'mvbc.trainer.model' | summary.mvbc.trainer.model |