BICMoTBF                Computing the BIC score of an MoTBF function
BICMultiFunctions       BIC score for multiple functions
LearningHC              Score-based hybrid Bayesian Network structure
                        learning
MOPTAN                  Fitting MoTBFs TAN models
MoTBF-Distribution      Random generation for MoTBF distributions
UpperBoundLogLikelihood
                        Upper bound of the loglikelihood
asMOPString             Parameters to MOP String
asMTEString             Converting MTEs to strings
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
derivMTE                Derivating MTEs
derivMoTBF              Derivating MoTBFs
dimensionFunction       Dimension of MoTBFs
discreteStatesFromBN    Get the states of all discrete nodes from a
                        MoTFB-BN
ecoli                   Data set Ecoli: Protein Localization Sites
eval.motbf              Evaluation of MoTBFs
evalJointFunction       Evaluation of joint 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
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
get_approx_posterior    Approximate inference
goodnessMoTBFBN         BIC of a hybrid BN
integralJointMoTBF      Integration with MoTBFs
integralMOP             Integration of MOPs
integralMTE             Integrating MTEs
integralMoTBF           Integrating MoTBFs
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
learnMoTBFpriorInformation
                        Incorporating prior knowledge in the estimation
                        process
marginal.jointmotbf     Marginalization of MoTBFs
marginalJointMoTBF      Marginalization of MoTBFs
mop.learning            Fitting mixtures of polynomials
motbf.cv                Cross-validation for MoTBFs
motbf.fit               Learning hybrid BNs with MoTBFs
motbf2bnlearn           Export discrete motbf to bnlearn format
motbf2grain             Export discrete motbf to grain format
motbf_type              Type of MoTBF
mte.learning            Fitting mixtures of truncated exponentials.
nVariables              Number of Variables in a Joint Function
newRangePriorData       Redefining the Domain
plot.motbf              Plots for "motbf" objects
plotConditional         Plot Conditional Functions
predict.motbf_fit       Predict from an MoTBF Bayesian Network
preprocessedData        Data cleaning
print.motbf             Print object of class motbf 'print' method for
                        class '"motbf"'.
printConditional        Summary of conditional MoTBF densities
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 features.
thyroid                 Data set Thyroid Disease (thyroid0387)
univMoTBF               Fitting MoTBFs
variableElimination     Exact inference
variableSelection       Variable selection for MoTBFs
