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What's new |
NLS2
A set of Splus (or R) functions and programs to estimate the parameters of a non-linear regression model over a given set of observations. |
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Fonction:
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.
To use without Splus nor R, see nls2C
Keywords: Statistics, Nonlinear Regression, Calibration
NB: This package does not be confused with the package of same name on the CRAN ( http://cran.r-project.org/web/packages/nls2)
License: GNU GENERAL PUBLIC LICENSE. We decline all responsability in case of damage due to nls2 installation or use.
System Requirements and Available versions
References:
User Guide: Download nls2 :
S. Huet, A. Bouvier, M.A. Gruet and E. Jolivet
Springer-Verlag, New-York, 2nd edition, 2004.
This book explains the statistical methods
and includes examples of use of nls2
Once nls2 installed on your platform, open in a browser
the file nls2/html/Functions.welcome.html.
nls2 is distributed under GPL license.
If you want to have access to the source code,
please take a few seconds to fill in this
form and we will give you access to the latest tarball.
©
INRA, 2001-