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| addarrow | Adding/Turning/Removing arrows |
| addarrows | Add arrows to/from node |
| addrandomarrow | Adding/Turning/Removing random arrows |
| as.network | Greedy search |
| autosearch | Greedy search |
| banlist | Bayesian network data structure |
| cond | Calculate conditional distribution |
| conditional | Calculate conditional distribution |
| cycletest | Test if network contains a cycle |
| deleterandomarrow | Adding/Turning/Removing random arrows |
| drawnetwork | Graphical interface for editing networks |
| elementin | Is a network element in a list of networks? |
| findex | Translation between indices in a multiway array |
| findleaf | Test if network contains a cycle |
| genlatex | From a network family, generate LaTeX output |
| genpicfile | From a network family, generate LaTeX output |
| heuristic | Greedy search |
| insert | Insert/remove an arrow in network |
| inspectprob | Graphical interface for editing networks |
| jointcont | Calculates the joint prior distribution |
| jointdisc | Calculates the joint prior distribution |
| jointprior | Calculates the joint prior distribution |
| ksl | Health and social characteristics |
| learn | Estimation of parameters in the local probability distributions |
| learnnode | Estimation of parameters in the local probability distributions |
| line | Prints a line of symbols |
| localmaster | Local master |
| makenw | Greedy search |
| makesimprob | Make a suggestion for simulation probabilities |
| maketrylist | Creates the full trylist |
| modelstreng | Greedy search |
| network | Bayesian network data structure |
| networkfamily | Generates and learns all networks for a set of variables. |
| node | Representation of nodes |
| nodes | Representation of nodes |
| numbermixed | The number of possible networks |
| nwequal | Test if the graphs of two networks are equal |
| nwfsort | Sorts a list of networks |
| perturb | Perturbs a network |
| plot.network | Bayesian network data structure |
| plot.networkfamily | Generates and learns all networks for a set of variables. |
| plot.node | Representation of nodes |
| post | Calculation of parameter posteriors for continuous node |
| post0 | Calculation of parameter posteriors for continuous node |
| postc | Calculation of parameter posteriors for continuous node |
| postc0c | Calculation of parameter posteriors for continuous node |
| postcc | Calculation of parameter posteriors for continuous node |
| postdist | Calculate point estimate of posterior parameters and create probability distribution |
| postM | Calculation of parameter posteriors for continuous node |
| print.network | Bayesian network data structure |
| print.networkfamily | Generates and learns all networks for a set of variables. |
| print.node | Representation of nodes |
| prob | Representation of nodes |
| prob.network | Bayesian network data structure |
| prob.node | Representation of nodes |
| rats | Weightloss of rats |
| readnet | Reads/saves .net file |
| removearrow | Adding/Turning/Removing arrows |
| remover | Insert/remove an arrow in network |
| savenet | Reads/saves .net file |
| simulation | Simulation of data sets with a given dependency structure |
| turnarrow | Adding/Turning/Removing arrows |
| turnrandomarrow | Adding/Turning/Removing random arrows |
| udisclik | Estimation of parameters in the local probability distributions |
| unique.networkfamily | Makes a network family unique. |