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| Peanut-package | Parameterized Bayesian Networks, Abstract Classes |
| as.Pnet | A Parameterized Bayesian network |
| as.Pnode | A Parameterized Bayesian network node |
| BuildAllTables | Builds the conditional probability table for a Pnode |
| BuildTable | Builds the conditional probability table for a Pnode |
| calcExpTables | Calculate expected tables for a parameterized network |
| calcPnetLLike | Calculates the log likelihood for a set of data under a Pnet model |
| GEMfit | Fits the parameters of a parameterized network using the GEM algorithm |
| GetPriorWeight | Gets the weight to be associated with the prior table during EM learning |
| is.Pnet | A Parameterized Bayesian network |
| is.Pnode | A Parameterized Bayesian network node |
| maxAllTableParams | Find optimal parameters of Pnet or Pnode to match expected tables |
| maxAllTableParams.default | Find optimal parameters of Pnet or Pnode to match expected tables |
| maxCPTParam | Find optimal parameters of Pnet or Pnode to match expected tables |
| Peanut | Parameterized Bayesian Networks, Abstract Classes |
| Pnet | A Parameterized Bayesian network |
| Pnet.default | A Parameterized Bayesian network |
| PnetPnodes | Returns a list of Pnodes associated with a Pnet |
| PnetPnodes<- | Returns a list of Pnodes associated with a Pnet |
| PnetPriorWeight | Gets the weight to be associated with the prior table during EM learning |
| PnetPriorWeight<- | Gets the weight to be associated with the prior table during EM learning |
| Pnode | A Parameterized Bayesian network node |
| PnodeAlphas | Access the combination function slope parameters for a Pnode |
| PnodeAlphas.default | Access the combination function slope parameters for a Pnode |
| PnodeAlphas<- | Access the combination function slope parameters for a Pnode |
| PnodeAlphas<-.default | Access the combination function slope parameters for a Pnode |
| PnodeBetas | Access the combination function slope parameters for a Pnode |
| PnodeBetas<- | Access the combination function slope parameters for a Pnode |
| PnodeLink | Accesses the link function associated with a Pnode |
| PnodeLink<- | Accesses the link function associated with a Pnode |
| PnodeLinkScale | Accesses the link function scale parameter associated with a Pnode |
| PnodeLinkScale<- | Accesses the link function scale parameter associated with a Pnode |
| PnodeLnAlphas | Access the combination function slope parameters for a Pnode |
| PnodeLnAlphas<- | Access the combination function slope parameters for a Pnode |
| PnodeNet | Returns a list of Pnodes associated with a Pnet |
| PnodeParentTvals | Fetches a list of numeric variables corresponding to parent states |
| PnodePriorWeight | Gets the weight to be associated with the prior table during EM learning |
| PnodePriorWeight<- | Gets the weight to be associated with the prior table during EM learning |
| PnodeQ | Accesses a state-wise Q-matrix associated with a Pnode |
| PnodeQ<- | Accesses a state-wise Q-matrix associated with a Pnode |
| PnodeRules | Accesses the combination rules for a Pnode |
| PnodeRules<- | Accesses the combination rules for a Pnode |