Man pages for rbmn
Handling Linear Gaussian Bayesian Networks
| adja2arcs | Arc matrix from an adjacency matrix |
| adja2crossed | creates a crossed-adjacency matrix from two ones |
| adja2nbn | standardized /nbn/ from an adjacency matrix |
| adja4nbn | adjacency matrix of a /nbn/ |
| adja4three | Adjacency matrices of DAGs having three nodes |
| arc7nb4nbn | returns the number(s) of arcs of a /nbn/ |
| arcs4nbn1nbn | returns the list of 'parallel' arcs of a crossed-nbn |
| bn2nbn | transforms a /bn/ of /bnlearn/ package to a /nbn/ |
| bnfit2nbn | transforms a /bn.fit/ of /bnlearn/ package to a /nbn/ |
| boco | Body Composition Variables and Covariables |
| chain2correlation | computes the correlation matrix of a chain |
| chain2gema | transforms a /chain/ to a /gema/ |
| chain2mn | computes the distribution of a chain |
| chain2nbn | transforms a /chain/ to a /nbn/ |
| chain2pre | computes the precision of a chain |
| chain4chain | extracts a chain from a chain |
| check8chain | checks a /chain/ object |
| check8gema | checks a /gema/ object |
| check8nbn | checks a /nbn/ object |
| condi4joint | computes some conditional distribution of a multinormal... |
| cor4var | returns the correlation matrix from the variance |
| crossed4nbn1nbn | creates a crossed-nbn from two /nbn/s |
| dev4mn | Computes the deviance for a sample of multinormal vector |
| diff8nbn | returns a score of the difference between two /nbn/s |
| estimate8constrainednbn | estimates the parameters of a nbn with equality constraints |
| estimate8nbn | estimating the /nbn/ parameters |
| gema2mn | computes a /mn/ from a /gema/ |
| gema2nbn | computes a /nbn/ from a /gema/ |
| generate8chain | generation of a /chain/ /nbn/ |
| generate8nbn | returns a randomly built /nbn/ object. |
| inout4chain | reduces a chain to its inputs and outputs |
| is8nbn8chain | Checks if a given /nbn/ is a /chain/ |
| marginal4chain | returns marginal expectations and standard deviations of a... |
| mn2gema | computes a /gema/ from a /mn/ |
| mn4joint1condi | computes a joint distribution from a marginal and a... |
| nb8bn | number of Bayesian networks |
| nbn2bnfit | transforms a /nbn/ to a /bn.fit/ of /bnlearn/ package |
| nbn2chain | transforms a /nbn/ into a /chain/ |
| nbn2gema | computes a /gema/ from a /nbn/ |
| nbn2mn | computes the joint distribution of a /nbn/ |
| nbn2nbn | computes the /nbn/ changing its topological order |
| nbn2rr | computes standard matrices from a /nbn/ |
| nbn4nbn | From a /nbn/ computes the associated nbn1 |
| nbn4rmatrix | a /nbn/ from a regression matrix |
| normalize8nbn | normalizes a /nbn/ |
| objets | Some examplifying structures |
| order4chain | returns a topological order of a /chain/ or checks a proposed... |
| order4gema | topological order of a /gema/ |
| order4nbn | topological order of a /nbn/ |
| print8chain | prints a /chain/ object |
| print8gema | standard print function for a /gema/ object. |
| print8mn | standard print function for a /mn/ object. |
| print8nbn | print function for a /nbn/ object. |
| rbmn-package | Linear Gaussian Bayesian network manipulations |
| reverse8chain | reverses the nodes of a chain |
| rm8nd4adja | removes somes nodes from an adjacency matrix |
| rm8nd4nbn | removes some nodes from a /nbn/ |
| rmatrix4nbn | regression matrix of a /nbn/ |
| simulate8gema | simulates from a /gema/ object |
| simulate8gmn | simulates a multinormal vector with varying expectation |
| simulate8mn | simulates a multinormal vector |
| simulate8nbn | simulates from a /nbn/ object |
| state4chain | returns the states of each node of a chain |
| string7dag4nbn | provides so-called string model of a /nbn/ |
| var2pre | returns the precision matrix from the variance |
