thomasWeise/regressoR.functional.models: An R Package Providing an Blueprints and Tools for Functional Models for Regression

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.

Getting started

Package details

AuthorDr. Thomas Weise <[email protected]>
MaintainerDr. Thomas Weise <[email protected]>
LicenseLGPL-3
Version0.8.15
URL http://www.github.com/thomasWeise/regressoR.functional.models
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("thomasWeise/regressoR.functional.models")
thomasWeise/regressoR.functional.models documentation built on July 23, 2018, 4:33 p.m.