version 1.0.1

DESCRIPTION

@@ -1,6 +1,7 @@
 Type: Package
-Title: Multivariate Information Inductive Causation
-Version: 1.0
+Title: Learning Causal or Non-Causal Graphical Models Using Information
+        Theory
+Version: 1.0.1
 Date: 2017-11-11
 Package: miic
 Description: We report an information-theoretic method which learns a large class of causal or non-causal graphical models from purely observational data, while including the effects of unobserved latent variables, commonly found in many datasets. Starting from a complete graph, the method iteratively removes dispensable edges, by uncovering significant information contributions from indirect paths, and assesses edge-specific confidences from randomization of available data. The remaining edges are then oriented based on the signature of causality in observational data. This approach can be applied on a wide range of datasets and provide new biological insights on regulatory networks from single cell expression data, genomic alterations during tumor development and co-evolving residues in protein structures. For more information you can refer to: Verny et al. Plos Comput Biol. (2017) <doi:10.1371/journal.pcbi.1005662>.
@@ -16,10 +17,10 @@ Encoding: UTF-8
 LazyData: true
 RoxygenNote: 6.0.1
 LinkingTo: Rcpp
-Packaged: 2017-11-22 16:47:43 UTC; nadir
+Packaged: 2017-12-05 13:12:16 UTC; nadir
 Author: Nadir Sella [aut, cre],
   Louis Verny [aut],
   Severine Affeldt [aut],
   Hervé Isambert [aut]
 Repository: CRAN
-Date/Publication: 2017-11-22 16:57:01 UTC
+Date/Publication: 2017-12-05 13:26:25 UTC

MD5

@@ -1,4 +1,4 @@
-025686c756633c295cdadeca670e5189 *DESCRIPTION
+42331e7327bf3b7cc8a3e34339237558 *DESCRIPTION
 b50205a65608e6b31f7140a07576af20 *NAMESPACE
 8a83329490f3bc92cbb5a3aa459ab69c *R/data.R
 15d73959b48006dd12eb39f61f0c6c16 *R/evaluate_efn.R
@@ -7,7 +7,7 @@ b50205a65608e6b31f7140a07576af20 *NAMESPACE
 23a27aa69c6e7fdd30d8ead240e655a1 *R/gmStatistics.skeleton.lib.R
 0a6be7d93839500f11bc1991d97c78d1 *R/gmSummary.R
 c19120d1c18e25e86db5767dcfcc8baf *R/gmSummary.lib.R
-1f8e49561cf3be399f6078676bf13cd1 *R/miic.R
+63f80c45d40d384309d3b3572f5288d8 *R/miic.R
 f56a076b1cd577c7eca658d3ce3dae5f *R/miic.orient.R
 f6cd4f12a2bed4020d51f6390ee3c7f5 *R/miic.plot.R
 9e249cf685f2d2c3e3e2405e76c9b429 *R/miic.skeleton.R
@@ -24,7 +24,7 @@ f27116874bf4e6c19e8d178eb33cac92 *data/ohno_stateOrder.rda
 e9304c35e64bb0d689e9337ee62f3885 *man/cosmicCancer.Rd
 ee82115615692931b2533d7f9b01c67c *man/cosmicCancer_stateOrder.Rd
 6936b8176557a4dfc94e9fd1e3df4551 *man/hematoData.Rd
-b1af86a80fc0dbb3580bc1f19f821e39 *man/miic.Rd
+4106a415ec860ac9807d5c0a2d2987db *man/miic.Rd
 641f80420a52817ce17ece6671e66a15 *man/miic.evaluate.effn.Rd
 843ed9f299b77a3102519ab320a7d22c *man/miic.plot.Rd
 dd2b3833e4079d797dfb278008da3639 *man/miic.write.network.cytoscape.Rd

R/miic.R

@@ -13,7 +13,7 @@
 #'
 #' @references
 #' \itemize{
-#' \item Verny et al., \emph{PLoS Comp. Bio. 2017.} The preprint of the paper is available at \href{https://miic.curie.fr/publications.php}{https://miic.curie.fr/publications.php}.
+#' \item Verny et al., \emph{PLoS Comp. Bio. 2017.}
 #' }
 #'
 #' @param inputData [a data frame]