Package: ARTIVA
Type: Package
Title: Time-Varying DBN Inference with the ARTIVA (Auto Regressive TIme
        VArying) Model
Version: 1.2.3
Date: 2015-05-19
Author: S. Lebre and G. Lelandais.
Maintainer: S. Lebre <sophie.lebre@icube.unistra.fr>
Depends: MASS, igraph, gplots
Description: Reversible Jump MCMC (RJ-MCMC)sampling for approximating the posterior 
        distribution of a time varying regulatory network, under the Auto Regressive TIme VArying
		(ARTIVA) model (for a detailed description of the algorithm, see Lebre et al. BMC Systems
		Biology, 2010). Starting from time-course gene expression measurements for a gene of 
		interest (referred to as "target gene") and a set of genes (referred to as "parent genes")
		which may explain the expression of the target gene, the ARTIVA procedure identifies
        temporal segments for which a set of interactions occur between the "parent genes" and the
		"target gene". The time points that delimit the different temporal segments are referred to
		as changepoints (CP).
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2015-05-19 20:18:20 UTC; lebre
Repository: CRAN
NeedsCompilation: no
Date/Publication: 2015-05-20 01:09:27
Built: R 3.5.3; ; 2020-04-22 06:09:09 UTC; windows
