qp {qp} | R Documentation |
This package has been replaced by 'qpgraph' available at the Bioconductor project website (http://www.bioconductor.org)
This synthetic data forms still part of this package.
jmlr06data
synthetic data used in the referenced article
qp.search
calculates the estimates of the non-rejection
rates for every pair of variables. Now qpNrr
in qpgraph
.
qp.edge.prob
calculates the estimate of the non-rejection
rate for a particular pair of variables, this function is also called
by qp.search
. Now qpEdgeNrr
in qpgraph
.
qp.ci.test
performs a test for conditional independence. Now qpCItest
in qpgraph
.
qp.analyse
provides some exploratory analyses on the
output of qp.search
. This function does not exist anymore.
qp.clique
calculates the maximum clique size as a function
of the minimum threshold on the non-rejection rate for removing an edge. Now qpClique
in qpgraph
.
qp.hist
shows a histogram of the estimated non-rejection
rates obtained through qp.search
. Now qpHist
in qpgraph
.
qp.graph
returns the qp-graph, in the form of an incidence
matrix, resulting of thresholding the non-rejection rates in the output
of qp.search
. Now qpGraph
in qpgraph
.
qp.matrix.image
makes an image plot of the absolute value
of an inverse correlation matrix. This function does not exist anymore.
qp.get.cliques
finds the set of cliques of an undirected
graph. Now qpGetCliques
in qpgraph
.
The package provides an implementation of the procedures described by Castelo and Roverato (2006) and is a contribution to the gR-project described by Lauritzen (2002).
Robert Castelo, Departament de Ci`encies Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain.
Alberto Roverato, Dipartimento di Scienze Statistiche, Universit`a di Bologna, Italy.
Lauritzen, S. L. (2002). gRaphical Models in R. R News, 3(2)39.
Castelo, R. and Roverato, A. (2006). A robust procedure for Gaussian graphical model search from microarray data with p larger than n, J. Mach. Learn. Res., 7:2621-2650