| anova.rsm | ANOVA Table for a RSM Object |
| anova.rsmlist | Use anova() on a "rsmlist" object |
| cond | Approximate Conditional Inference - Generic Function |
| cond.rsm | Approximate Conditional Inference in Regression-Scale Models |
| darwin | Darwin's Data on Growth Rates of Plants |
| family.rsm | Use family() on a "rsm" object |
| familyRsm.object | Family Object for Regression-Scale Models |
| houses | House Price Data |
| Huber | Huber's Least Favourable Distribution |
| logLik.rsm | Compute the Log Likelihood for Regression-Scale Models |
| make.family.rsm | Support for RSM Family Functions |
| marg.object | Approximate Marginal Inference Object |
| marg-package | Approximate marginal inference for regression-scale models |
| nuclear | Nuclear Power Station Data |
| plot.marg | Generate Plots for an Approximate Marginal Inference Object |
| print.familyRsm | Use print() on a "familyRsm" object |
| print.marg | Use print() on a "marg" object |
| print.rsm | Use print() on a "rsm" object |
| print.summaryMarg | Use print() on a "summaryMarg" object |
| print.summaryRsm | Use print() on a "summaryRsm" object |
| residuals.rsm | Compute Residuals for Regression-Scale Models |
| rsm | Fit a Regression-Scale Model |
| rsm.diag | Diagnostics for Regression-Scale Models |
| rsm.diag.plots | Diagnostic Plots for Regression-Scale Models |
| rsm.dispersion | Support for Functions rsm.fit and rsm.surv |
| rsm.distributions | RSM Family Support Object |
| rsm.families | Generate a RSM Family Object |
| rsm.fit | Fit a Regression-Scale Model Without Computing the Model... |
| 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... |
| summary.marg | Summary Method for Objects of Class "marg" |
| summary.rsm | Summary Method for Regression-Scale Models |
| update.rsm | Update and Re-fit a RSM Model Call |
| vcov.rsm | Calculate Variance-Covariance Matrix for a Fitted RSM Model |
| venice | Sea Level Data |
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