Plots an overview of some possible priors used in the
ARTIVAsubnet function for the number of changepoints
(resp. incoming edges) according to a given number of maximum
maxCP (resp. incoming Edges
betaCP for the CPs or
betaEdges for the edges) in function
ARTIVAsubnet are set to default (alpha=1, beta=0.5).
ARTIVAsubnet procedure, the number of CPs
(respectively the number of incoming edges) is sampled from a
truncated Poisson with mean lambda, where lambda is drawn from an
Inverse Gamma distribution (alpha, beta), see Lebre et al. (2010) for
Maximum number of changepoints or incomins Edges (parents)
Table describing the priors which can be loaded with data(priors)
NULL, a graph is plotted.
S. Lebre and G. Lelandais.
S. Lebre, J. Becq, F. Devaux, M. P. H. Stumpf, G. Lelandais (2010) Statistical inference of the time-varying structure of gene-regulation networks, BMC Systems Biology, 4:130.
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Loading required package: MASS Loading required package: igraph Attaching package: 'igraph' The following objects are masked from 'package:stats': decompose, spectrum The following object is masked from 'package:base': union Loading required package: gplots Attaching package: 'gplots' The following object is masked from 'package:stats': lowess
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