C1                      Six Herbicide Data Sets
Dmean                   Differentiate the Mean Function of a Nonlinear
                        Model
Dvar                    Differentiate the Variance Function of a
                        Nonlinear Model
aids                    AIDS Symptoms and AZT Use Data
airway                  Airway Data
babies                  Crying Babies Data
chlorsulfuron           Chlorsulfuron Data
cond                    Approximate Conditional Inference - Generic
                        Function
cond.glm                Approximate Conditional Inference for Logistic
                        and Loglinear Models
cond.object             Approximate Conditional Inference Object
cond.rsm                Approximate Conditional Inference in
                        Regression-Scale Models
contour.all.nlreg.profiles
                        Contour Method for 'nlreg' Objects
dHuber                  Huber's Least Favourable Distribution
daphnia                 'Daphnia Magna' Data
darwin                  Darwin's Data on Growth Rates of Plants
dormicum                Dormicum Data
expInfo                 Returns the Expected Information Matrix -
                        Generic Function
expInfo.nlreg           Expected Information Matrix for 'nlreg' Objects
family.cond             Use family() on a "cond" object
family.rsm              Use family() on a "rsm" object
family.rsm.object       Family Object for Regression-Scale Models
family.summary.cond     Use family() on a "summary.cond" object
fraudulent              Fraudulent Automobile Insurance Claims Data
fungal                  Fungal Infections Treatment Data
helicopter              Helicopter Data
hoa                     Higher Order Likelihood Inference
houses                  House Price Data
logLik.nlreg            Compute the Log Likelihood for Nonlinear
                        Heteroscedastic Models
logLik.rsm              Compute the Log Likelihood for Regression-Scale
                        Models
marg.object             Approximate Marginal Inference Object
metsulfuron             Metsulfuron Methyl Data
mpl                     Maximum Adjusted Profile Likelihood Estimation
                        - Generic Function
mpl.nlreg               Maximum Adjusted Profile Likelihood Estimates
                        for a 'nlreg' Object
mpl.object              Maximum Adjusted Profile Likelihood Object
nlreg                   Fit a Nonlinear Heteroscedastic Model via
                        Maximum Likelihood
nlreg.diag              Nonlinear Heteroscedastic Model Diagnostics
nlreg.object            Nonlinear Heteroscedastic Model Object
nuclear                 Nuclear Power Station Data
obsInfo                 Returns the Observed Information Matrix -
                        Generic Function
obsInfo.nlreg           Observed Information Matrix for 'nlreg' Objects
param                   Extract All Parameters from a Model - Generic
                        Function
plot.cond               Generate Plots for an Approximate Conditional
                        Inference Object
plot.fr                 Plot a fr Object
plot.marg               Generate Plots for an Approximate Marginal
                        Inference Object
plot.nlreg.contours     Use plot() on a 'nlreg.contours' object
plot.nlreg.diag         Diagnostic Plots for Nonlinear Heteroscedastic
                        Models
plot.nlreg.profile      Use plot() on a 'profile.nlreg' and
                        'all.profiles.nlreg' object
print.summary.cond      Use print() on a "summary.cond" object
print.summary.marg      Use print() on a "summary.marg" object
profile.nlreg           Profile Method for 'nlreg' Objects
rabbits                 Rabbits Data
residuals.rsm           Compute Residuals for Regression-Scale Models
ria                     Radioimmunoassay Data
rsm                     Fit a Regression-Scale Model
rsm.diag                Diagnostics for Regression-Scale Models
rsm.diag.plots          Diagnostic Plots for Regression-Scale Models
rsm.families            Generate a RSM Family Object
rsm.fit                 Fit a Regression-Scale Model Without Computing
                        the Model Matrix
rsm.null                Fit an Empty Regression-Scale Model
rsm.object              Regression-Scale Model Object
rsm.surv                Fit a Regression-Scale Model Without Computing
                        the Model Matrix
summary.all.nlreg.profiles
                        Summary Method for Objects of Class
                        'all.nlreg.profiles'
summary.cond            Summary Method for Objects of Class "cond"
summary.fr              Likelihood-Based Confidence Intervals Based on
                        fr Object
summary.marg            Summary Method for Objects of Class "marg"
summary.mpl             Summary Method for 'mpl' Objects
summary.nlreg           Summary Method for Nonlinear Heteroscedastic
                        Models
summary.nlreg.profile   Summary Method for Objects of Class
                        'nlreg.profile'
summary.rsm             Summary Method for Regression-Scale Models
tem                     Tangent exponential model: Higher Order
                        Likelihood Approximation
update.rsm              Update and Re-fit a RSM Model Call
urine                   Urine Data
var2cor                 Convert Covariance Matrix to Correlation Matrix
                        - Generic Function
vcov.rsm                Calculate Variance-Covariance Matrix for a
                        Fitted RSM Model
venice                  Sea Level Data
