| aids | AIDS Symptoms and AZT Use Data |
| airway | Airway Data |
| babies | Crying Babies Data |
| C1 | Six Herbicide Data Sets |
| C2 | Six Herbicide Data Sets |
| C3 | Six Herbicide Data Sets |
| C4 | Six Herbicide Data Sets |
| 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 |
| daphnia | 'Daphnia Magna' Data |
| darwin | Darwin's Data on Growth Rates of Plants |
| dHuber | Huber's Least Favourable Distribution |
| Dmean | Differentiate the Mean Function of a Nonlinear Model |
| dormicum | Dormicum Data |
| Dvar | Differentiate the Variance Function of a Nonlinear Model |
| expInfo | Returns the Expected Information Matrix - Generic Function |
| expInfo.nlreg | Expected Information Matrix for 'nlreg' Objects |
| extreme | Generate a RSM Family Object |
| 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 |
| fraser.reid | Tangent exponential model: Higher Order Likelihood Approximation |
| fraudulent | Fraudulent Automobile Insurance Claims Data |
| fungal | Fungal Infections Treatment Data |
| helicopter | Helicopter Data |
| hoa | Higher Order Likelihood Inference |
| houses | House Price Data |
| Huber | Generate a RSM Family Object |
| lik.ci | Likelihood-Based Confidence Intervals Based on fr Object |
| logistic | Generate a RSM Family Object |
| logLik.nlreg | Compute the Log Likelihood for Nonlinear Heteroscedastic Models |
| logLik.rsm | Compute the Log Likelihood for Regression-Scale Models |
| logWeibull | Generate a RSM Family Object |
| M2 | Six Herbicide Data Sets |
| M4 | Six Herbicide Data Sets |
| 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.diag.plots | Diagnostic Plots for Nonlinear Heteroscedastic Models |
| 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 |
| pHuber | Huber's Least Favourable Distribution |
| plot.all.nlreg.profiles | Use plot() on a 'profile.nlreg' and 'all.profiles.nlreg' object |
| 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 |
| plot.rsm | Diagnostic Plots for Regression-Scale Models |
| 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 |
| qHuber | Huber's Least Favourable Distribution |
| rabbits | Rabbits Data |
| residuals.rsm | Compute Residuals for Regression-Scale Models |
| rHuber | Huber's Least Favourable Distribution |
| 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 |
| student | Generate a RSM Family Object |
| 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 |