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