Package index • gRbase

Functions in gRbase Functions in gRain to be used in the future.
`all_subsets()` `all_subsets0()`	Create all subsets
`all_pairs()` `names2pairs()`	Create all possible pairs
`tablePerm()` `tableMult()` `tableDiv()` `tableOp()` `tableOp2()` `tableOp0()` `tableSlice()` `tableSlicePrim()` `tableMargin()` `tableGetSliceIndex()` `tableSetSliceValue()`	Array operations (2007)
`is.named.array()` `is_named_array_()` `is_number_vector_()` `is_dimnames_()` `dimnames_match()`	Check if object is array
`cell2entry()` `entry2cell()` `next_cell()` `next_cell2()` `next_cell_slice()` `slice2entry()` `cell2entry_perm()` `perm_cell_entries()` `fact_grid()`	Table cell operations.
`cell2entry_()` `make_plevels_()` `entry2cell_()` `next_cell_()` `next_cell2_()` `next_cell_slice_()` `slice2entry_()` `cell2entry_perm_()` `perm_cell_entries_()`	Low level table cell operations implemented in c++
`parray()` `as.parray()` `data2parray()` `makeDimNames()`	Representation of and operations on multidimensional arrays
`%a+%` `%a-%` `%a%` `%a/%` `%a/0%` `%a_%` `%a==%` `%a^%` `%aperm%` `%aalign%` `%aslice%` `%aslice%` `%amarg%`	Array algebra
`tabDist()`	Marginalize and condition in multidimensional array.
`tabNew()`	Create multidimensional arrays
`tabAdd()` `tabAlign()` `tabDiv()` `tabDiv0()` `tabOp()` `tabEqual()` `tabExpand()` `tabMult()` `tabSubt()` `tabListMult()` `tabListAdd()` `tabPerm()` `tabMarg()` `tabSum()` `tabProd()` `tabNormalize()`	Interface - operations on multidimensional arrays.
`tab_perm_()` `tab_expand_()` `tab_align_()` `tab_marg_()` `tab_op_()` `tab_add_()` `tab_subt_()` `tab_mult_()` `tab_div_()` `tab_div0_()` `tab_equal_()` `tab_list_mult_()` `tab_list_add_()`	Table operations implemented in c++
`tabSlice()` `tabSlice2()` `tabSlicePrim()` `tabSliceMult()` `tabSlice2Entries()`	Array slices
`simulateArray()` `simulate(<table>)` `simulate(<xtabs>)` `simulate(<array>)`	Simulate data from array.
`compareModels()`	Generic function for model comparison
`cov2pcor()` `conc2pcor()`	Partial correlation (matrix)
`valueLabels()` `varNames()` `nLevels()`	Utilities for data handling
`downstream-aliases` `ell` `ellK`	Downstream aliases
`dag2edge_matrix()` `edge_matrix2dag()`	Coerce dag to edge matrix
`fastcombn()` `combn_prim()`	Generate All Combinations of n Elements Taken m at a Time
`gRbase`	The package `gRbase': summary information
`as.adjMAT()`	Functions from Graphical Modelling with R book
`get_cliques()` `max_cliqueMAT()` `getCliques()` `maxCliqueMAT()` `maxClique()`	Get cliques of an undirected graph
`g_dm2sm_()` `g_dm2ig_()` `g_sm2dm_()` `g_sm2ig_()` `g_ig2dm_()` `g_ig2sm_()` `g_xm2ig_()` `g_xm2dm_()` `g_xm2sm_()` `g_xm2xm_()`	API for coercing graph representations
`coerceGraph()` `graph_as()`	Graph coercion
`ug()` `ugi()` `ugList()` `dag()` `dagi()` `dagList()`	Create undirected and directed graphs
`edgeList()` `edgeListMAT()` `nonEdgeList()` `nonEdgeListMAT()`	Find edges in a graph and edges not in a graph.
`isGraphical()` `isDecomposable()`	Properties of a generating class (for defining a graph).
`mcs()` `mcsMAT()` `mcs_marked()` `mcs_markedMAT()`	Maximum cardinality search on undirected graph.
`minimal_triang()` `minimal_triangMAT()`	Minimal triangulation of an undirected graph
`moralize()`	Moralize a directed acyclic graph
`mpd()` `mpdMAT()`	Maximal prime subgraph decomposition
`random_dag()`	Random directed acyclic graph
`rip()` `ripMAT()` `junction_tree()` `junction_treeMAT()` `jTree()`	Create RIP ordering of the cliques of an undirected graph; create junction tree.
`triangulate()` `triang_mcwh()` `triang_elo()` `triang()` `triangulateMAT()` `triang_mcwhMAT_()` `triang_eloMAT_()` `triang_eloMAT()`	Triangulation of an undirected graph
`ug2dag()`	Coerce between undirected and directed graphs when possible
`g_ugl2ig_()` `g_ugl2dm_()` `g_ugl2sm_()` `g_ugl2XX_()` `g_dagl2ig_()` `g_dagl2dm_()` `g_dagl2sm_()` `g_dagl2XX_()` `g_adl2ig_()` `g_adl2dm_()` `g_adl2sm_()` `g_adl2XX_()` `g_M2adl_()` `g_M2ugl_()` `g_M2dagl_()` `g_ugl2M_()` `g_dagl2M_()` `g_adl2M_()`	Coercion of graphs represented as lists
`iplot()`	Function for plotting graphs using the 'igraph' package.
`is_dag()` `is_dagMAT()` `is_ug()` `is_ugMAT()` `is_tug()` `is_tugMAT()` `is_dg()` `is_dgMAT()` `is_adjMAT()` `is.adjMAT()`	Check properties of graphs.
`querygraph()` `qgraph()` `ancestors()` `subGraph()` `is.triangulated()` `connComp()` `ancestralSet()` `ancestralGraph()` `parents()` `children()` `separates()` `closure()` `adj()` `is.simplicial()` `simplicialNodes()` `is.complete()` `is.decomposition()` `nodes_()` `nodes()` `edges()` `edges_()` `addEdge()` `removeEdge()`	Query a graph
`topo_sort()` `topo_sortMAT()` `topoSort()` `topoSortMAT()`	Topological sort of vertices in directed acyclic graph
`vchi()` `vchiMAT()` `vpar()` `vparMAT()`	List of vertices and their parents for graph.
`rhsFormula2list()` `rhsf2list()` `rhsf2vec()` `listify_dots()` `list2rhsFormula()` `list2rhsf()` `rowmat2list()` `colmat2list()` `matrix2list()` `which.arr.index()` `which_matrix_index()` `rowSumsPrim()` `colSumsPrim()` `colwiseProd()` `lapplyV2I()` `lapplyI2V()`	gRbase utilities
`fit()` `compile()` `propagate()` `stepwise()`	Compile and propagate functions
`internal` `ggm` `%>%` `MAT2ftM_` `isGSD_glist` `solveSPD` `randomGraph` `addEdge.gModel` `dropEdge.gModel` `extract.power` `processFormula` `selectOrder` `symMAT2ftM_` `setdiffPrim` `unlistPrim` `intersectPrim` `outerPrim` `uniquePrim` `matchPrim`	Internal functions for the gRbase package
`prostate`	Prostate Tumor Gene Expression Dataset
`maximal_sets()` `minimal_sets()` `remove_redundant()` `is_inset()` `filter_maximal_vectors()` `get_subset()` `get_superset()` `is_subsetof()` `is.subsetof()` `subsetof()`	Suite of set operations
Old names These functions are kept in the package for backward compatibility. They may be deprecated in the future.
Datasets These functions are kept in the package for backward compatibility. They may be deprecated in the future.
`BodyFat`	Body Fat Data
`Nutrimouse`	The Nutrimouse Dataset
`ashtrees`	Crown dieback in ash trees
`breastcancer`	Gene expression signatures for p53 mutation status in 250 breast cancer samples
`carcass`	Lean meat contents of 344 pig carcasses
`chestSim500`	Simulated data from the Chest Clinic example
`dietox`	Growth curves of pigs in a 3x3 factorial experiment
`dumping`	Gastric Dumping
`lizard`	Lizard behaviour
`mathmark`	Mathematics marks for students
`mildew`	Mildew fungus
`milkcomp`	Milk composition data
`personality`	Personality traits
`rats`	Weightloss of rats
`reinis`	Risk factors for coronary heart disease.
`wine`	Chemical composition of wine
`cad1`	Coronary artery disease data

Reference

Functions in gRbase

Old names

Datasets