Overview | Data Sets | Tornado Plot Examples | LM | type = "PercentChange" | type = "rangess" | type = "percentiles" | Including Categorical Variables | Changing Variable Names | Plotting Options | Extending the ggplot | GLM | Censored Data | Surival Regression or Accelerated Failure | Cox Proportional Hazards | Ridge Regression and LASSO | Machine Learning Models | Regression | Classification | Importance Plots | Linear Models | Using a dictionary to translate the variable names and chaning colors | Generalized Linear Models | Machine Learning
Package: tornado 0.2.0
tornado: Plots for Model Sensitivity and Variable Importance
Draws tornado plots for model sensitivity to univariate changes. Implements methods for many modeling methods including linear models, generalized linear models, survival regression models, and arbitrary machine learning models in the caret package. Also draws variable importance plots.
Authors:
tornado_0.2.0.tar.gz
tornado_0.2.0.zip(r-4.7)tornado_0.2.0.zip(r-4.6)tornado_0.2.0.zip(r-4.5)
tornado_0.2.0.tgz(r-4.6-any)tornado_0.2.0.tgz(r-4.5-any)
tornado_0.2.0.tar.gz(r-4.7-any)tornado_0.2.0.tar.gz(r-4.6-any)
tornado_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tornado/json (API)
| # Install 'tornado' in R: |
| install.packages('tornado', repos = c('https://bertcarnell.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bertcarnell/tornado/issues
Pkgdown/docs site:https://bertcarnell.github.io
explanabilityregressionsensitivity-analysis
Last updated from:97ab07552f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 208 | ||
| source / vignettes | OK | 228 | ||
| linux-release-x86_64 | OK | 206 | ||
| macos-release-arm64 | OK | 150 | ||
| macos-oldrel-arm64 | OK | 143 | ||
| windows-devel | OK | 160 | ||
| windows-release | OK | 158 | ||
| windows-oldrel | OK | 183 | ||
| wasm-release | OK | 165 |
Exports:importancetornado
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimennetR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrsurvivaltinytexvctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generic Importance Plot | importance |
| Plot Variable Importance for a GLMNET model | importance.cv.glmnet |
| GLM variable importance plot | importance.glm |
| Linear Model variable importance plot | importance.lm |
| Create a variable importance plot for a survreg model | importance.survreg |
| Importance Plot for the caret::train objects | importance.train |
| Plot an Importance Plot object | plot.importance_plot |
| Plot a Tornado Plot object | plot.tornado_plot |
| print data in an 'importance_plot' | print.importance_plot |
| print data in a 'tornado_plot' | print.tornado_plot |
| Quantile for Ordered Factors | quantile.ordered |
| Generic tornado plotting method | tornado |
| Cox Proportional Hazards Tornado Diagram | tornado.coxph |
| GLMNET Tornado Diagram | tornado.cv.glmnet |
| GLM Tornado Diagram | tornado.glm |
| Linear Model Tornado Diagram | tornado.lm |
| Survreg Tornado Diagram | tornado.survreg |
| Caret Tornado Diagram | tornado.train |
