data-mildew

mildew

<p>The data stem from a cross between two isolates of the barley powdery mildew
fungus. For each offspring 6 binary characteristics, each corresponding to a
single locus, were recorded. The object of the analysis is to determine the
order of the loci along the chromosome.</p>

datasets

The 'gRbase' package provides graphical modelling features
used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements
graph algorithms including (i) maximum cardinality search (for marked
and unmarked graphs).
(ii) moralization, (iii) triangulation, (iv) creation of junction tree.
'gRbase' facilitates array operations,
'gRbase' implements functions for testing for conditional independence.
'gRbase' illustrates how hierarchical log-linear models may be
implemented and describes concept of graphical meta
data.
The facilities of the package are documented in the book by Højsgaard,
Edwards and Lauritzen (2012,
<doi:10.1007/978-1-4614-2299-0>) and in the paper by
Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>).
Please see 'citation("gRbase")' for citation details.
NOTICE  'gRbase' requires that the packages graph,
'Rgraphviz' and 'RBGL' are installed from 'bioconductor'. For
installation instructions please refer to the web page given below.

Søren Højsgaard

gRbase

A Package for Graphical Modelling in R

data-mildew function

<p>A 6 dimensional array where each variable has levels "1" and "2".
The variables are: <code>la10</code>, <code>locc</code>, <code>mp58</code>, <code>c365</code>, <code>p53a</code> and <code>a365</code>.</p>

data-mildew: Mildew fungus

Description

Usage

Arguments

Format

References

Examples