modeltools v0.2-23
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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!
Functions in modeltools
| Name | Description | |
| info | Get Information on Fitted Objects | |
| ModelEnvFormula | Generate a model environment from a classical formula based interface. | |
| FormulaParts-class | Class "FormulaParts" | |
| Generics | Generic Utility Functions | |
| Predict | Model Predictions | |
| ModelEnvMatrix | Generate a model environment from design and response matrix | |
| MEapply | Apply functions to Data in Object of Class "ModelEnv" | |
| ModelEnv-class | Class "ModelEnv" | |
| StatModel-class | Class "StatModel" | |
| StatModelCapabilities-class | Class "StatModelCapabilities" | |
| ModelEnvFormula-class | Class "ModelEnvFormula" | |
| No Results! | ||
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Details
| Date | 2020-03-05 |
| LazyLoad | yes |
| License | GPL-2 |
| NeedsCompilation | no |
| Packaged | 2020-03-05 10:45:24 UTC; hothorn |
| Repository | CRAN |
| Date/Publication | 2020-03-05 11:50:06 UTC |
| imports | methods |
| depends | stats , stats4 |
| Contributors | Torsten Hothorn, Achim Zeileis, Friedrich Leisch |
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