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