Man pages for MoTBFs
Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions
| asMOPString | Parameters to MOP String |
| asMTEString | Converting MTEs to strings |
| BICMoTBF | Computing the BIC score of an MoTBF function |
| BICMultiFunctions | BIC score for multiple functions |
| clean | Remove Objects from Memory |
| coef.jointmotbf | Coefficients of a '"jointmotbf"' object |
| coef.mop | Extract coefficients from MOPs |
| coef.motbf | Extract the coefficients of an MoTBF |
| coef.mte | Extracting the coefficients of an MTE |
| coercion-motbf | Coerce MOTBF Objects to Character or Function |
| conditionalmotbf.learning | Learning conditional MoTBF densities |
| confusionMatrix | Confusion Matrix |
| dataMining | Data pre-processing utilities |
| derivMOP | Derivative of a MOP |
| derivMoTBF | Derivating MoTBFs |
| derivMTE | Derivating MTEs |
| dimensionFunction | Dimension of MoTBFs |
| discreteStatesFromBN | Get the states of all discrete nodes from a MoTFB-BN |
| ecoli | Data set Ecoli: Protein Localization Sites |
| evalJointFunction | Evaluation of joint MoTBFs |
| eval.motbf | Evaluation of MoTBFs |
| expectedValueMOP | Expected Value of an MoP Density Function |
| expectedValueMTE | Expected Value of an MTE Density Function |
| findConditional | Find Fitted Conditional MoTBFs |
| generateNormalPriorData | Prior data generation |
| get_approx_posterior | Approximate inference |
| getChildParentsFromGraph | Get the list of relations in a graph |
| getCoefficients | Get the coefficients |
| getDAG | Retrieve DAG from BN |
| getMotbfDim | Extract Dimension of MoTBFs |
| getMotbfVar | Extract Variables of MoTBFs |
| getNonNormalisedRandomMoTBF | Ramdom MoTBF |
| getStructure | Hybrid Bayesian Network structure learning |
| goodnessMoTBFBN | BIC of a hybrid BN |
| integralJointMoTBF | Integration with MoTBFs |
| integralMOP | Integration of MOPs |
| integralMoTBF | Integrating MoTBFs |
| integralMTE | Integrating MTEs |
| integrate.motbf | Integrating MoTBFs |
| is.discrete | Check discreteness of a node |
| is.motbf | Check MoTBF Classes and Subclasses |
| is.observed | Observed Node |
| is.root | Root nodes |
| jointmotbf.fit | Joint MoTBF density learning |
| jointmotbf.learning | Joint MoTBF density learning |
| LearningHC | Score-based hybrid Bayesian Network structure learning |
| learnMoTBFpriorInformation | Incorporating prior knowledge in the estimation process |
| marginal.jointmotbf | Marginalization of MoTBFs |
| marginalJointMoTBF | Marginalization of MoTBFs |
| mop.learning | Fitting mixtures of polynomials |
| MOPTAN | Fitting MoTBFs TAN models |
| motbf2bnlearn | Export discrete motbf to bnlearn format |
| motbf2grain | Export discrete motbf to grain format |
| motbf.cv | Cross-validation for MoTBFs |
| MoTBF-Distribution | Random generation for MoTBF distributions |
| motbf.fit | Learning hybrid BNs with MoTBFs |
| motbf_type | Type of MoTBF |
| mte.learning | Fitting mixtures of truncated exponentials. |
| newRangePriorData | Redefining the Domain |
| nVariables | Number of Variables in a Joint Function |
| plotConditional | Plot Conditional Functions |
| plot.motbf | Plots for "motbf" objects |
| predict.motbf_fit | Predict from an MoTBF Bayesian Network |
| preprocessedData | Data cleaning |
| printConditional | Summary of conditional MoTBF densities |
| print.motbf | Print object of class motbf 'print' method for class... |
| probDiscreteVariable | Probability distribution of discrete variables |
| query | Conditional probability queries |
| r.data.frame | Initialize Data Frame |
| rescale_data | Scale data |
| rescaledFunctions | Rescaling MoTBF functions |
| rnormMultiv | Multivariate Normal sampling |
| sample_motbfs | Generate Samples From an MoTBF Bayesian network |
| subsetData | Dataset subsetting |
| summary.motbf | Summarize an '"motbf"' object by describing its main... |
| thyroid | Data set Thyroid Disease (thyroid0387) |
| univMoTBF | Fitting MoTBFs |
| UpperBoundLogLikelihood | Upper bound of the loglikelihood |
| variableElimination | Exact inference |
| variableSelection | Variable selection for MoTBFs |
