| marg-package {marg} | R Documentation |
Likelihood inference based on higher order approximations for linear nonnormal regression models
| Package: | marg |
| Version: | 1.0-0 |
| Date: | 2005-05-31 |
| LazyLoad: | yes |
| LazyData: | yes |
| Bundle: | hoa |
| BundleDescription: | Various functions for higher order likelihood-based inference |
| Contains: | cond marg nlreg csampling |
| Depends: | R (>= 2.0.1), statmod, survival |
| License: | GPL (version 2 or later) |
| URL: | http://www.r-project.org, http://www.isib.cnr.it/~brazzale/CS/ |
| Packaged: | Thu Nov 24 11:57:28 2005; brazzale |
| Built: | R 2.2.0; ; 2005-11-24 12:34:50; unix |
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) |
S original by Alessandra R. Brazzale <alessandra.brazzale@isib.cnr.it>. R port by Alessandra R. Brazzale <alessandra.brazzale@isib.cnr.it>, following earlier work by Douglas Bates.
Maintainer: Alessandra R. Brazzale <alessandra.brazzale@isib.cnr.it>