nls2

nls2
list of help-files



To Study the Regression Model To Calculate Confidence Intervals To Study Functions of Parameter
To Study the Inverse of the Regression Function Graphical functions Extracting functions
Models and Objects descriptions Examples Utilities
For more advanced users Methods for the nls2 objects


To Study the Regression Model

calcmodnls2:
Evaluate an nls2 Model
iso.nls2:
Confidence Regions for an nls2 Object
nls2:
Non-linear Regression
renls2:
Series of Non-linear Regressions
rexnls2:
Series of Non-linear Regressions

Sommaire

To Calculate Confidence Intervals:

conflike.nls2:
Confidence Intervals Based on the Log-likelihood Ratio
confidence.nls2:
Other Types of Confidence Intervals
bootstrap.nls2:
To calculate bootstrap percentiles

Sommaire

To Study Functions of Parameters:

bootstrap.nls2:
Non-linear Regressions by Bootstraping Methods
calcpsinls2:
Functions of Parameters Estimated by nls2
confidence.nls2:
Confidence Interval for Parameters or Functions of Parameters Estimated by nls2
ellips.nls2:
Confidence Ellipsoids for Parameters or Functions of Parameters Estimated by nls2
wald.nls2:
Wald Test for Functions of Parameters Estimated by nls2

Sommaire

To Study the Inverse of the Regression Function:

calcinvnls2:
Evaluate the Inverse of an nls2 Regression Function
calib.nls2:
Calibration of a Model Estimated by nls2
(Note that the system pcalib can be used as an alternative: it runs independently of Splus, with a fast multi-threaded method.)

Sommaire

Graphical functions:

To Study the Regression Model:
pldnls2:
Plot an nls2 Data Frame
plfit.nls2:
Plot an nls2 Object for Studying the Fitted Values
plit.nls2:
Plot an nls2 Object for Studying the Iterative Process
plres.nls2:
Plot an nls2 Object for Studying the Residuals
plvar.nls2:
Plot an nls2 Object for Studying the Variance Heterogeneity

Sommaire

To Study the Inverse of the Regression Function:
plot.calibnls2:
Plot Results of Calibration Analysis from a calibnls2 Object

Sommaire

Extracting functions:

coef.nls2:
Extract the Estimated Values of the Parameters from an nls2 Object
fitted.nls2:
Extract Fitted Values from an nls2 Object
residuals.nls2:
Extract Residuals from an nls2 Object
summary.nls2:
Summarize an nls2 Object

Sommaire

Models and Objects descriptions:

nls2.model:
Description of Non-linear Regression Models for nls2
nls2.integ.ctx:
Description of Integration Context for nls2
nls2.object:
Non-linear Regression Object Created by nls2
nls2.psi:
Description of Functions of Parameters Estimated by nls2
nls2.inv:
Description of the Inverse of an nls2 Regression Function

Sommaire

Examples:

list by example name
list by function name

Sommaire

Utilities:

delnls2:
Delete Internal Structures after a Series of nls2 Object Creations
loadnls2:
Load Programs for function nls2
nls2.control:
Control User's Options for nls2

Sommaire

For more advanced users:

nls2.mymethod:
For Expert User of nls2: How to Define a New Method.
nls2.mymodel:
How to Write Programs for Evaluating nls2 Models
nls2.mypsi:
How to Write Programs for Evaluating Functions of Parameters Estimated by nls2
nls2.myinv:
How to Write Programs for Evaluating the Inverse of an nls2 Regression Function

Sommaire

Methods:

all.equal.nls2:
Test Equality of nls2 Objects
print.coef.nls2:
Print an Object of Class "coef.nls2"
print.fitted.nls2:
Print an Object of Class "fitted.nls2"
print.nls2:
Print an Object of Class "nls2"
print.residuals.nls2:
Print an Object of Class "residuals.nls2"
print.summary.nls2:
Print an Object of Class "summary.nls2"

Sommaire

Last release: Nov 17 1997 -