hllm

fit.hllm

stepwise.hllm

hllm-class

an object of class <code><a href="/link/formula?package=gRbase&version=1.6-12" rd-options="" data-mini-rdoc="gRbase::formula">formula</a></code>. The right
    hand side of the formula is a list of the generators separated by
    <code>+</code>. A generator is specified by variable names with separated
    by <code>*</code>

formula

an object of class <code><a href="/link/gmData?package=gRbase&version=1.6-12" rd-options="" data-mini-rdoc="gRbase::gmData">gmData</a></code>.

gmData

an optional argument specifying a subset of the
    variables from the <code>gmData</code> object.

marginal

object

Definining the fitting engine. For hllm objects only
    "loglm" is implemented.

engine

NOTICE: THIS FUNCTION IS DEFUNCT. PLEASE USE THE gRim PACKAGE FOR
  HIERARCHICAL LOG LINEAR MODELS.
  
  An implementation of hierarchical log-linear models using the
  framework of <code><a href="/link/gRbase?package=gRbase&version=1.6-12" rd-options="" data-mini-rdoc="gRbase::gRbase">gRbase</a></code>. A model object is defined using
  <code>hllm</code>, fitted using <code>fit</code> (which calls <code><a href="/link/loglm?package=gRbase&version=1.6-12&to=MASS" rd-options="MASS" data-mini-rdoc="MASS::loglm">loglm</a></code>)
  and a model search performed 
  using <code>stepwise</code>. The models may be displayed and manipulated
  using the <code><a href="/link/gRbase?package=gRbase&version=1.6-12" rd-options="" data-mini-rdoc="gRbase::gRbase">gRbase</a></code>.

models

The gRbase package provides certain general constructs
 which are used by other graphical modelling packages, in particular
 by the packages gRain, gRim and gRc. 

     gRbase contains several datasets relevant for use in connection with
 	graphical models. Almost all datasets used in the book Graphical
	Models with R (2012) are contained in gRbase.

     gRbase implements several graph algorithms (based mainly on
 	representing graphs as adjacency matrices - either in the form
	of a standard matrix or a sparse matrix). Some graph
	algorithms are: 
	(i) maximum cardinality search (for marked and unmarked graphs).
	(ii) moralize.
	(iii) triangulate.
	(iv) junctionTree.

     gRbase facilities for array operations, 

     gRbase implements functions for testing for conditional independence. 

     gRbase illustrates how hierarchical log-linear models (hllm) may be
 	implemented and describes concept of gmData (graphical meta
 	data). These features, however, are not maintained anymore and
 	remains in gRbase only because there exists a paper describing
	these facilities: A Common Platform for Graphical Models in R:
	The gRbase Package, Journal of Statistical Software, Vol 14,
	No 17, 2005. 

hllm: Hierarchical log-linear models

Description

Usage

Arguments

Value

See Also