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