Package: modeltools 0.2-23
modeltools: Tools and Classes for Statistical Models
A collection of tools to deal with statistical models. The functionality is experimental and the user interface is likely to change in the future. The documentation is rather terse, but packages `coin' and `party' have some working examples. However, if you find the implemented ideas interesting we would be very interested in a discussion of this proposal. Contributions are more than welcome!
Authors:
modeltools_0.2-23.tar.gz
modeltools_0.2-23.zip(r-4.5)modeltools_0.2-23.zip(r-4.4)modeltools_0.2-23.zip(r-4.3)
modeltools_0.2-23.tgz(r-4.4-any)modeltools_0.2-23.tgz(r-4.3-any)
modeltools_0.2-23.tar.gz(r-4.5-noble)modeltools_0.2-23.tar.gz(r-4.4-noble)
modeltools_0.2-23.tgz(r-4.4-emscripten)modeltools_0.2-23.tgz(r-4.3-emscripten)
modeltools.pdf |modeltools.html✨
modeltools/json (API)
NEWS
| # Install 'modeltools' in R: |
| install.packages('modeltools', repos = c('https://thothorn.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 5 years agofrom:89a7c7ed50. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
| R-4.4-win | OK | Nov 12 2024 |
| R-4.4-mac | OK | Nov 12 2024 |
| R-4.3-win | OK | Nov 12 2024 |
| R-4.3-mac | OK | Nov 12 2024 |
Exports:cloneclustersdimensiondppemptyfitgetModelglinearModelhasICLinfoinfoCheckinitializeKLdivLapplylinearModelMEapplyModelEnvFormulaModelEnvMatrixna.failna.omitna.passparametersParseFormulaposteriorPredictpriorrefitrelabelshowsubsetsurvReg
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Class "FormulaParts" | FormulaParts-class |
| Generic Utility Functions | clusters getModel ICL KLdiv Lapply parameters ParseFormula posterior prior refit relabel |
| Get Information on Fitted Objects | info info,ANY,missing-method infoCheck |
| Apply functions to Data in Object of Class "ModelEnv" | MEapply MEapply,ModelEnv-method |
| Class "ModelEnv" | clone clone,ModelEnv-method dimension dimension,ModelEnv,character-method empty empty,ModelEnv-method has has,ModelEnv,character-method initialize,ModelEnv-method ModelEnv-class na.fail na.fail,ModelEnv-method na.omit na.omit,ModelEnv-method na.pass na.pass,ModelEnv-method show,ModelEnv-method subset subset,ModelEnv-method |
| Generate a model environment from a classical formula based interface. | ModelEnvFormula |
| Class "ModelEnvFormula" | ModelEnvFormula-class |
| Generate a model environment from design and response matrix | ModelEnvMatrix |
| Model Predictions | Predict |
| Class "StatModel" | dpp dpp,StatModel-method fit fit,StatModel,ModelEnv-method fitted.glinearModel fitted.linearModel fitted.survReg glinearModel linearModel logLik.survReg model.matrix.glinearModel model.matrix.linearModel predict.glinearModel predict.linearModel print.glinearModel print.linearModel print.survReg StatModel-class survReg weights.linearModel weights.survReg |
| Class "StatModelCapabilities" | StatModelCapabilities-class |
