marg-package: Approximate marginal inference for regression-scale models

Description

Likelihood inference based on higher order approximations for linear nonnormal regression models

Arguments

Details

Package:	marg
Version:	1.2-0
Date:	2009-10-03
Depends:	R (>= 2.6.0), statmod, survival
Suggests:	boot, cond, csampling, nlreg
License:	GPL (>= 2)
URL:	http://www.r-project.org, http://statwww.epfl.ch/AA/
LazyLoad:	yes
LazyData:	yes

Index:

Functions: ========= cond Approximate Conditional Inference - Generic Function cond.rsm Approximate Conditional Inference in Regression-Scale Models dHuber Huber's Least Favourable Distribution family.rsm Use family() on a "rsm" object family.rsm.object Family Object for Regression-Scale Models logLik.rsm Compute the Log Likelihood for Regression-Scale Models marg.object Approximate Marginal Inference Object plot.marg Generate Plots for an Approximate Marginal Inference Object print.summary.marg Use print() on a "summary.marg" 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.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 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

Datasets: ======== darwin Darwin's Data on Growth Rates of Plants houses House Price Data nuclear Nuclear Power Station Data venice Sea Level Data

Further information is available in the following vignettes:

Rnews-paper hoa: An R Package Bundle for Higher Order Likelihood Inference (source, pdf)