Approximate marginal inference for regression-scale models


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Documentation for package `marg' version 1.0-0

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cond Approximate Conditional Inference - Generic Function
cond.rsm Approximate Conditional Inference in Regression-Scale Models
darwin Darwin's Data on Growth Rates of Plants
dHuber Huber's Least Favourable Distribution
extreme Generate a RSM Family Object
family.rsm Use family() on a ``rsm'' object
family.rsm.object Family Object for Regression-Scale Models
houses House Price Data
Huber Generate a RSM Family Object
logistic Generate a RSM Family Object
logLik.rsm Compute the Log Likelihood for Regression-Scale Models
logWeibull Generate a RSM Family Object
marg.object Approximate Marginal Inference Object
pHuber Huber's Least Favourable Distribution
plot.marg Generate Plots for an Approximate Marginal Inference Object
plot.rsm Diagnostic Plots for Regression-Scale Models
print.summary.marg Use print() on a ``summary.marg'' object
qHuber Huber's Least Favourable Distribution
residuals.rsm Compute Residuals for Regression-Scale Models
rHuber Huber's Least Favourable Distribution
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.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