Man pages for thomasWeise/regressoR.functional
An R Package for Fitting Functional Models to 2-Dimensional Data

as.characterConvert a 'FittedFunctionalModel' to a String
FittedFunctionalModel.as.characterConvert a 'FittedFunctionalModel' to a String
FittedFunctionalModel-classA Fitted Functional Model
FittedFunctionalModel.finalizeFinalize a Fitted Functional Model
FittedFunctionalModel.newHelper Method to Create a Fitted Functional Model
FunctionalModel.defaultLearnersGet the Default Learners
FunctionalModel.fitFit the Given Model Blueprint to the Specified Data
FunctionalModel.fit.cmaesUse CMA-ES to Optimize the Parameters
FunctionalModel.fit.deUse Differential Evolution to Optimize the Parameters
FunctionalModel.fit.dfoptimUse Derivative-Free Local Searches to Optimize the Parameters
FunctionalModel.fit.lbfgsbUse the L-BFGS-B Algorithm from the 'optim' Method of the...
FunctionalModel.fit.minqaUse Powell's BOBYQA Approach to Optimize the Parameters
FunctionalModel.fit.nlsApply a the Standard Non-Linear Least Squares Approach from...
FunctionalModel.fit.nlslmApply a Levenberg-Marquardt Algorithm to Fit a Functional...
FunctionalModel.fit.optimUse the 'optim' Method from the 'stats' Package for Fitting a...
FunctionalModel.fit.psoUse the 'psoptim' Method from the 'pso' Package for Fitting a...
FunctionalModel.fit.transformedFit the Given Model Blueprint to the Specified Data
FunctionalModel.makeLearnersCreate Learners for the Given Set of Models
FunctionalModel.monotonousLearnersGet the Default Learners for Monotonously Decreasing Models
TransformedFittedFunctionalModel.as.characterConvert a 'TransformedFittedFunctionalModel' to a String
TransformedFittedFunctionalModel-classA Functional Model Fitted on Transformed Data
TransformedFittedFunctionalModel.finalizeFinalize a Fitted Transformed Functional Model
TransformedFittedFunctionalModel.newHelper Method to Create a Transformed Fitted Functional Model
thomasWeise/regressoR.functional documentation built on Aug. 15, 2018, 6:13 p.m.