In this package, we provide blueprints and tools for defining functional models for regression. First, there is a base class called \code{FunctionalModel} which allows specifying a model function with parameters, boundaries for the model parameters, a gradient function and a parameter guesser. Second, there are some utility methods that can be used to validate and guess parameters of such a model. Third, we provide a set of basic model instances of the model blueprints that can be used. This set will be continuously extented in the future.
Package details |
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Author | Dr. Thomas Weise <tweise@hfuu.edu.cn> |
Maintainer | Dr. Thomas Weise <tweise@hfuu.edu.cn> |
License | LGPL-3 |
Version | 0.8.15 |
URL | http://www.github.com/thomasWeise/regressoR.functional.models |
Package repository | View on GitHub |
Installation |
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