version 1.5.2

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: miic
 Title: Learning Causal or Non-Causal Graphical Models Using Information
         Theory
-Version: 1.5.1
+Version: 1.5.2
 Authors@R: 
     c(person(given = "Vincent",
              family = "Cabeli",
@@ -54,7 +54,7 @@ LazyData: true
 Encoding: UTF-8
 RoxygenNote: 7.1.1
 NeedsCompilation: yes
-Packaged: 2020-09-17 14:57:50 UTC; vcabeli
+Packaged: 2020-09-23 15:38:01 UTC; vcabeli
 Author: Vincent Cabeli [aut, cre],
   Honghao Li [aut],
   Marcel Ribeiro Dantas [aut],
@@ -64,4 +64,4 @@ Author: Vincent Cabeli [aut, cre],
   Hervé Isambert [aut]
 Maintainer: Vincent Cabeli <vincent.cabeli@curie.fr>
 Repository: CRAN
-Date/Publication: 2020-09-18 08:00:03 UTC
+Date/Publication: 2020-09-23 23:50:10 UTC

MD5

@@ -1,10 +1,10 @@
-7995eccabf74bbdbd5849dd420bd35bb *DESCRIPTION
+0cf90f25f6bd5edab2ddf142388e1d34 *DESCRIPTION
 e528e2be4c8c7738587f1e2c81cf6103 *NAMESPACE
 d18e11cd5d58ee77d2ff8010e73e69ab *R/RcppExports.R
 51fc2386e898e2af3775a09b9a45fa8b *R/data.R
 89ccacf7722806b7e4a1417296d6ca7d *R/discretizeMDL.R
 0ae53c1360ad64b558058d3b53c35ea5 *R/discretizeMutual.R
-f29dcee0554178e0ecf316e61fb05361 *R/miic.R
+4dbac61b983ecebeddd25f72d057ac3d *R/miic.R
 bfd8cb28fa256102c0de0b52323cdfd7 *R/miic.export.R
 9d6e62ab8d87153fa0895e1faab58251 *R/miic.reconstruct.R
 789b70123af708dc1767a509e5f762c5 *R/miic.utils.R
@@ -23,7 +23,7 @@ fdefe43b4a29c4165dffab2bb7d41f47 *data/ohno_stateOrder.rda
 25bbdda60e7ff4c0263e3280f97d885c *man/discretizeMutual.Rd
 8dd06d836d1a72180e6754a8e4441ee3 *man/getIgraph.Rd
 f0aad99e9b0f5e9241902b01267ca7c4 *man/hematoData.Rd
-56eec623f750cdd3debbb5f4065bfa10 *man/miic.Rd
+5698542803cf56cfae058a1829d69f16 *man/miic.Rd
 4b466262d68952772f5113101d1d6b7a *man/miic.export.Rd
 8b9187a1bb0a6977ad3b9c086f75676b *man/miic.write.network.cytoscape.Rd
 d0a7e312ede8df92a1240855c6853240 *man/miic.write.style.cytoscape.Rd
@@ -38,32 +38,32 @@ f0305103664ea30a0f6b6d195b9ecb1f *src/biconnected_component.cpp
 89ace1ae17fcc388cb0d59880b0a7cac *src/biconnected_component.h
 472b9780ec5dedfdbcb7b2bf91cc3217 *src/computation_cache.cpp
 7ff474c4a9e595b81269725add7997d6 *src/computation_cache.h
-19b40ce603f8e21e3e812718a5e68f1d *src/computation_continuous.cpp
-cb3ad287c97e25a6c11afaa76d4ddac5 *src/computation_continuous.h
-35607b8e47be55f3c277aa83fd96b850 *src/computation_discrete.cpp
+5e03d998a47877ec4d555fdf0d74fe92 *src/computation_continuous.cpp
+31ddecc89edcc83a2c8684f4ebe2d471 *src/computation_continuous.h
+b066cc804c4b3d443503842a296a9e80 *src/computation_discrete.cpp
 b0b0ee517d2cf5d83c181bc441501ea7 *src/computation_discrete.h
-f013126598af5898c08c64ee4b4cc1d5 *src/confidence_cut.cpp
+fc03595920d598a624732d8a2505dc4d *src/confidence_cut.cpp
 328c09a6c64aa9fe72aeab5109a7617e *src/confidence_cut.h
 aea7d1cc64900d7bd32067905ae31003 *src/cycle_tracker.cpp
 39841add9a7a4ca24693f783e71cd919 *src/cycle_tracker.h
 3d9e8a394d6215c1ca088e888465d0fc *src/environment.cpp
-38fcd477ae69f7e990e4e44afbb87b19 *src/environment.h
-52adde42582daeebec63ba051b7ac500 *src/get_information.cpp
+f48edd2b83c851417fec78e094237a90 *src/environment.h
+ebc8bc0b9901b9d8172b4a6da1e3781c *src/get_information.cpp
 d8ee6d71e371d79fcc09d58d8847f7b0 *src/get_information.h
-6927a54a2256de9a907934ca686b7b08 *src/linear_allocator.cpp
-01aa74aa2d789e5862aa5d171ea0c91d *src/linear_allocator.h
+009ddf79582bad694c8610816be4b572 *src/linear_allocator.cpp
+6e19c0324a4bbbfd68603d916dd203a1 *src/linear_allocator.h
 c1c17a88a1bafddab190264b28888cbd *src/mdl_discretize.cpp
-10e6856f10085ead425d8bd02bf51658 *src/mdl_pair_discretize.cpp
-1f6063292e505ef01693ce637cf49d15 *src/mutual_information.cpp
-1b37b0a99b9e1adb9053645073ca524f *src/mutual_information.h
+ae4dfd0463679e7bc87c651672c9480a *src/mdl_pair_discretize.cpp
+de22d46613ec77d373905c60d5bc9276 *src/mutual_information.cpp
+fc705aaf09d5f8ceea21179bd5f299f4 *src/mutual_information.h
 5fdb69f43deb84efb9f91b4aa0450f66 *src/nanoflann.h
 41c8295f4197e36dc703c0948df042ec *src/orientation.cpp
 6748ec378c5cbffea270bb78aedb0127 *src/orientation.h
 fdaf94c86a59be1bf950a118d71594f5 *src/proba_orientation.cpp
 8f3e7fcfa7dced39119873c60e3e92c8 *src/proba_orientation.h
 5c5dbbf509eed5c25d734f090c79adbd *src/reconstruct.cpp
-9ada72edf7bc8c221226f21352be9073 *src/skeleton.cpp
+11968a0bb9ef2046a14641fb8f2c3da9 *src/skeleton.cpp
 a1e1ccd2fa7ca8df1a24961709aa2681 *src/skeleton.h
-23b7b77daa1ba96283f7c05645439718 *src/structure.h
-d7f5795a61b76074bf24ff8cede10d63 *src/utilities.cpp
+2b9830529f15c062450c591a6e984527 *src/structure.h
+d83fc37e3d005b9b50d8f55a343cd3a6 *src/utilities.cpp
 36e113d9849d1e52223307a1c38eb5d8 *src/utilities.h

R/miic.R

@@ -255,7 +255,7 @@
 #'
 #' # execute MIIC (reconstruct graph)
 #' miic.res <- miic(
-#'   input_data = hematoData[1:1000,], latent = "yes",
+#'   input_data = hematoData[1:100,], latent = "yes",
 #'   n_shuffles = 10, conf_threshold = 0.001
 #' )
 #'