Man pages for rje42/ADMGs2
Functions for Describing and Fitting Discrete Mixed Graphs
| alstyne | van Alstyne and Gottfredson Data |
| ancDisClos | Get C^* |
| aridProj | Compute the (maximal) arid or ancestral projection of a graph |
| as.ci | Turn list into a conditional independence |
| autoFit | Find best ADMG model to data. |
| caesarian | Caesarian Dataset |
| canonicalDAG | Canonical DAG for an ADMG |
| ci_operations | Operations for conditional independences |
| constr_sets | Get sets constrained by a conditional independence |
| educ_asp | Sewell and Shah Dataset |
| factorize | Factorize a set of nodes into heads and tails |
| findSep | Find separator sets |
| fitADMG | Fit data to an ADMG model |
| fitUG | Fit data to an undirected graphical model |
| fix | Fix a node in a CADMG |
| getHeadOrder | Get head order from graph |
| getMparamsNames | Return Moebius parameter name strings |
| gr16n18 | The '16-not-18' Graph |
| gr3head | The triskelion graph |
| grCounter | Graph that often serves as a counter example |
| grGadget | The 'gadget' graph |
| group_indeps | Group independences using an ordering |
| headsTails | Find heads and tails |
| intrinsicClosure | Find intrinsic closure of a connected set |
| intrinsicSets | List Intrinsic Sets of Summary Graph or ADMG |
| is_ancestral | Check if a directed mixed graph is ancestral |
| is_MAG | Check if a graph is maximal and ancestral |
| is_MArG | Check if a graph is maximal and arid |
| latentProject | Project out latent variables |
| localMarkovProperty | Local Markov property for ADMGs |
| m_connected | Get m-connected vertices |
| moebius | Evaluate generalized Moebius parameters |
| opd | Get the ordered power DAG |
| partition0 | Gives partition/factorization |
| print.CADMG | Print method for a CADMG object |
| print.ci | Define conditional independence class |
| probdist | Calculate joint probabilities. |
| prob_table | Constructs probability array for graph |
| rADMG | Function to generate random graphs |
| rADMGdist | Generate a distribution from an ADMG model |
| random | Get vector of fixed or random nodes in CADMG |
| rDAGdist | Generate a distribution from a DAG model |
| rmixedgraph | Generate distributions from an ADMG model |
| romp | Obtain the refined ordered Markov property |
| subsetRep | Get the subset representation of an ordinary ADMG |
| summary.mixed_fit | Summarize fitted ADMG model. |
| twins | Data Sets |
