Man pages for ggm
Graphical Markov Models with Mixed Graphs
| adjMatrix | Adjacency matrix of a graph |
| AG | Ancestral graph |
| allEdges | All edges of a graph |
| anger | Anger data |
| basiSet | Basis set of a DAG |
| bfsearch | Breadth first search |
| binve | Inverts a marginal log-linear parametrization |
| blkdiag | Block diagonal matrix |
| blodiag | Block diagonal matrix |
| checkIdent | Identifiability of a model with one latent variable |
| cmpGraph | The complementary graph |
| conComp | Connectivity components |
| correlations | Marginal and partial correlations |
| cycleMatrix | Fundamental cycles |
| DAG | Directed acyclic graphs (DAGs) |
| derived | Data on blood pressure body mass and age |
| DG | Directed graphs |
| diagv | Matrix product with a diagonal matrix |
| drawGraph | Drawing a graph with a simple point and click interface. |
| dSep | d-separation |
| edgematrix | Edge matrix of a graph |
| essentialGraph | Essential graph |
| findPath | Finding paths |
| fitAncestralGraph | Fitting of Gaussian Ancestral Graph Models |
| fitConGraph | Fitting a Gaussian concentration graph model |
| fitCovGraph | Fitting of Gaussian covariance graph models |
| fitDag | Fitting of Gaussian DAG models |
| fitDagLatent | Fitting Gaussian DAG models with one latent variable |
| fitmlogit | Multivariate logistic models |
| fundCycles | Fundamental cycles |
| ggm | The package 'ggm': summary information |
| glucose | Glucose control |
| grMAT | Graph to adjacency matrix |
| icf | Iterative conditional fitting |
| In | Indicator matrix |
| InducedGraphs | Graphs induced by marginalization or conditioning |
| isAcyclic | Graph queries |
| isADMG | Acyclic directed mixed graphs |
| isAG | Ancestral graph |
| isGident | G-identifiability of an UG |
| MAG | Maximal ancestral graph |
| makeMG | Mixed Graphs |
| marg.param | Link function of marginal log-linear parameterization |
| MarkEqMag | Markov equivalence of maximal ancestral graphs |
| MarkEqRcg | Markov equivalence for regression chain graphs. |
| marks | Mathematics marks |
| mat.mlogit | Multivariate logistic parametrization |
| Max | Maximisation for graphs |
| MRG | Maximal ribbonless graph |
| msep | The m-separation criterion |
| MSG | Maximal summary graph |
| null | Null space of a matrix |
| parcor | Partial correlations |
| pcor | Partial correlation |
| pcor.test | Test for zero partial association |
| plotGraph | Plot of a mixed graph |
| powerset | Power set |
| rcorr | Random correlation matrix |
| RepMarBG | Representational Markov equivalence to bidirected graphs. |
| RepMarDAG | Representational Markov equivalence to directed acyclic... |
| RepMarUG | Representational Markov equivalence to undirected graphs. |
| RG | Ribbonless graph |
| rnormDag | Random sample from a decomposable Gaussian model |
| rsphere | Random vectors on a sphere |
| SG | summary graph |
| shipley.test | Test of all independencies implied by a given DAG |
| SimpleGraphOperations | Simple graph operations |
| stress | Stress |
| surdata | A simulated data set |
| swp | Sweep operator |
| topSort | Topological sort |
| transClos | Transitive closure of a graph |
| triDec | Triangular decomposition of a covariance matrix |
| UG | Defining an undirected graph (UG) |
| unmakeMG | Loopless mixed graphs components |
| UtilityFunctions | Utility functions |
