NLS2


set of R functions and programs to estimate the parameters of a non-linear regression model over a given set of observations.

The regression function can be defined explicitly as a function of independent variables and of unknown parameters or it can be defined as the solution of a system of differential equations. Heteroscedasticity of errors can be taken into account by modelling the variance function.

Several additional tools are included: plotting functions, functions to process series of estimations, calculate confidence intervals and confidence regions for parameters and functions of parameters, and process calibration study. The description of the models can be provided by using a symbolic syntax.


Informations générales
Partenaire externe
aucun
Suivi
Maintenu
Informations spécifiques
Langage(s) de développement
R; C; Fortran
Langage(s) d'interface
R
N° de version courante
v0.3
Date de la version courante
OS supporté
Type de licence


Porteur(s)
Unité
MaIAGE
Equipe
Dynenvie
Auteur(s)
Sylvie Huet
Annie Bouvier
Contact
Sylvie.Huet@inra.fr


 

 

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