FunctionalModel.par.estimate: Create a Parameter Estimate for a Given Functional Model

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

Description

Use the data available in the functional functional model together with the x and y coordinates to be modeled to produce an initial first guess of the parameters. This method should not be confused with actually fitting the model. It won't do that, it just provides a reasonable initial guess. It therefore uses the estimator function provided by the functional model, if any, and then attempts to fix any parameter values violating the constraints.

Usage

FunctionalModel.par.estimate(model, x = NULL, y = NULL, par = NULL)

Arguments

model	the model function functional model
x	the input values
y	the corresponding output values
par	an existing estimate, or NULL if no previous estimate exists

Value

the parameter estimate

thomasWeise/regressoR.functional.models documentation built on May 17, 2019, 8:45 p.m.