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DESCRIPTION
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DESCRIPTION
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Package: regressoR.functional.models
Type: Package
Title: An R Package Providing an Blueprints and Tools for Functional Models for Regression
Version: 0.8.15
Author: Dr. Thomas Weise <tweise@hfuu.edu.cn>
Maintainer: Dr. Thomas Weise <tweise@hfuu.edu.cn>
Description: 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.
License: LGPL-3
Encoding: UTF-8
LazyData: true
URL: http://www.github.com/thomasWeise/regressoR.functional.models
BugReports: http://www.github.com/thomasWeise/regressoR.functional.models/issues
Imports: compiler (>= 3.3.2),
methods (>= 3.3.2),
minqa (>= 1.2.4),
stats (>= 3.3.2),
utilizeR (>= 0.8.4)
Suggests: testthat (>= 2.0.0),
roxygen2 (>= 6.0.1)
Depends: R (>= 3.3.0)
Remotes: github::thomasWeise/utilizeR
Collate:
'FunctionalModel.R'
'constant.R'
'linear.R'
'quadratic.R'
'cubic.R'
'internalEstimateSampler.R'
'mlp.R'
'mlpDefault.R'
'expLogLinear.R'
'exponentialDecay.R'
'gompertz.R'
'logistic.R'
'default.R'
'parCheck.R'
'parFix.R'
'parEstimate.R'
RoxygenNote: 6.0.1.9000