`Daphnia Magna' Data
Use family() on a ``rsm'' object
Convert Covariance Matrix to Correlation Matrix --- Generic Function
contour.all.nlreg.profiles
Contour Method for `nlreg' Objects
Use print() on a ``rsm'' object
Family Object for Regression-Scale Models
Nuclear Power Station Data
Urine Data
Airway Data
Use param() on a `nlreg' object
Metsulfuron Methyl Data
Use print() on a ``summary.cond'' object
Approximate Conditional Inference Object
Dormicum Data
Crying Babies Data
Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood
Fit a Regression-Scale Model Without Computing the Model Matrix
Use print() on a ``family.rsm'' object
Plot a fr Object
Summary Method for `mpl' Objects
Regression-Scale Model Object
Extract All Parameters from a Model --- Generic Function
Use var2cor() on a `nlreg' and `mpl' object
Use residuals() on a `nlreg' object
Summary Method for Objects of Class `nlreg.profile'
Nonlinear Heteroscedastic Model Diagnostics
Use print() on a `nlreg' object
Contour Object for Nonlinear Heteroscedastic Models
Six Herbicide Data Sets
Huber's Least Favourable Distribution
Approximate Conditional Inference in Regression-Scale Models
Use fitted() on a `nlreg' object
Darwin's Data on Growth Rates of Plants
Compute the Log Likelihood for Regression-Scale Models
Returns the Observed Information Matrix --- Generic Function
Use print() on a ``summary.rsm'' object
Use print() on a `mpl' object
Generate a RSM Family Object
Support for Functions rsm.fit and rsm.surv
Approximate Conditional Inference - Generic Function
AIDS Symptoms and AZT Use Data
Approximate Marginal Inference Object
Use print() on a ``marg'' object
Use print() on a `summary.mpl' object
Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Object
Profile Method for `nlreg' Objects
Summary Method for Nonlinear Heteroscedastic Models
Summary Method for Objects of Class ``cond''
Chlorsulfuron Data
Expected Information Matrix for `nlreg' Objects
Use family() on a ``cond'' object
Higher Order Likelihood Inference
Use plot() on a `nlreg.contours' object
Use family() on a ``summary.cond'' object
Use anova() on a ``rsmlist'' object
Rabbits Data
Support for `nlreg' package of `hoa' bundle
Fit a Regression-Scale Model
print.summary.nlreg.profiles
Use print() on a `summary.nlreg.profile' and
`summary.all.nlreg.profiles' object
Tangent exponential model: Higher Order Likelihood Approximation
Differentiate the Mean Function of a Nonlinear Model
ANOVA Table for a RSM Object
Support for function `profile.nlreg'
Fungal Infections Treatment Data
Approximate Conditional Inference for Logistic and Loglinear Models
Maximum Adjusted Profile Likelihood Object
Fraudulent Automobile Insurance Claims Data
Compute the Log Likelihood for Nonlinear Heteroscedastic Models
Generate Plots for an Approximate Conditional Inference Object
Helicopter Data
Diagnostic Plots for Nonlinear Heteroscedastic Models
Use coef() on a `nlreg' object
Compute Residuals for Regression-Scale Models
Nonlinear Heteroscedastic Model Object
Generate Plots for an Approximate Marginal Inference Object
Fit a Regression-Scale Model Without Computing the Model Matrix
Use print() on a ``summary.marg'' object
summary.all.nlreg.profiles
Summary Method for Objects of Class `all.nlreg.profiles'
Summary Method for Objects of Class ``marg''
Summary Method for Regression-Scale Models
Observed Information Matrix for `nlreg' Objects
Calculate Variance-Covariance Matrix for a Fitted RSM Model
Profile Objects for Nonlinear Heteroscedastic Models
Differentiate the Variance Function of a Nonlinear Model
Support for RSM Family Functions
Use print() on a `nlreg.contours' object
Use print() on a `summary.nlreg' object
Diagnostics for Regression-Scale Models
Sea Level Data
Update and Re-fit a RSM Model Call
House Price Data
Maximum Adjusted Profile Likelihood Estimation --- Generic Function
Returns the Expected Information Matrix --- Generic Function
Use print() on a ``cond'' object
Use print() on a `nlreg.profile' and `all.nlreg.profiles' object
Use plot() on a `profile.nlreg' and `all.profiles.nlreg' object
Diagnostic Plots for Regression-Scale Models
RSM Family Support Object
Likelihood-Based Confidence Intervals Based on fr Object
Fit an Empty Regression-Scale Model
Radioimmunoassay Data