Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions

Documentation for package ‘MoTBFs’ version 2.0

Help Pages

-- A --

as.character.jointmotbf	Coerce MOTBF Objects to Character or Function
as.character.motbf	Coerce MOTBF Objects to Character or Function
as.function.jointmotbf	Coerce MOTBF Objects to Character or Function
as.function.motbf	Coerce MOTBF Objects to Character or Function
asMOPString	Parameters to MOP String
asMTEString	Converting MTEs to strings

-- B --

bestMOP	Fitting mixtures of polynomials
bestMTE	Fitting mixtures of truncated exponentials.
BiC.MoTBFBN	BIC of a hybrid BN
BICMoTBF	Computing the BIC score of an MoTBF function
BICMultiFunctions	BIC score for multiple functions
BICscoreMoTBF	Learning conditional MoTBF densities

-- C --

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
coeffExp	Extracting the coefficients of an MTE
coeffMOP	Extract coefficients from MOPs
coeffMTE	Extracting the coefficients of an MTE
coeffPol	Extract coefficients from MOPs
coercion-motbf	Coerce MOTBF Objects to Character or Function
conditional	Learning conditional MoTBF densities
conditionalMethod	Learning conditional MoTBF densities
conditionalmotbf.learning	Learning conditional MoTBF densities
confusionMatrix	Confusion Matrix
confusionMatrix.motbf_fit_cv	Confusion Matrix

-- D --

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
discreteVariablesStates	Data pre-processing utilities
discreteVariables_as.character	Data pre-processing utilities
discretizeVariablesEWdis	Data pre-processing utilities

-- E --

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

-- F --

findConditional	Find Fitted Conditional MoTBFs
fit_tan	Fitting MoTBFs TAN models

-- G --

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

-- I --

integralJointMoTBF	Integration with MoTBFs
integralMOP	Integration of MOPs
integralMoTBF	Integrating MoTBFs
integralMTE	Integrating MTEs
integrate.motbf	Integrating MoTBFs
inversionMethod	Random generation for MoTBF distributions
is.discrete	Check discreteness of a node
is.jointmotbf	Check MoTBF Classes and Subclasses
is.mop	Check MoTBF Classes and Subclasses
is.motbf	Check MoTBF Classes and Subclasses
is.motbf_fit	Check MoTBF Classes and Subclasses
is.motbf_fit_cv	Check MoTBF Classes and Subclasses
is.mte	Check MoTBF Classes and Subclasses
is.observed	Observed Node
is.root	Root nodes
is.univmotbf	Check MoTBF Classes and Subclasses

-- J --

jointMoTBF	Joint MoTBF density learning
jointmotbf.fit	Joint MoTBF density learning
jointmotbf.learning	Joint MoTBF density learning

-- L --

learn.tree.Intervals	Learning conditional MoTBF densities
LearningHC	Score-based hybrid Bayesian Network structure learning
learnMoTBFpriorInformation	Incorporating prior knowledge in the estimation process
logLikelihood.MoTBFBN	BIC of a hybrid BN

-- M --

marginal.jointmotbf	Marginalization of MoTBFs
marginalJointMoTBF	Marginalization of MoTBFs
meanMOP	Rescaling MoTBF functions
mop.learning	Fitting mixtures of polynomials
MOPTAN	Fitting MoTBFs TAN models
MoTBF-Distribution	Random generation for MoTBF distributions
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
MoTBFs_Learning	Learning hybrid BNs with MoTBFs
motbf_type	Type of MoTBF
mte.learning	Fitting mixtures of truncated exponentials.
mutual_information_tan	Fitting MoTBFs TAN models

-- N --

newRangePriorData	Redefining the Domain
nstates	Data pre-processing utilities
nVariables	Number of Variables in a Joint Function

-- P --

parametersJointMoTBF	Joint MoTBF density learning
plot.jointmotbf	Plots for "motbf" objects
plot.motbf	Plots for "motbf" objects
plot.motbf.fit.node	Plots for "motbf" objects
plot.piecewisemop	Plots for "motbf" objects
plot.univmotbf	Plots for "motbf" objects
plotConditional	Plot Conditional Functions
predict.motbf_fit	Predict from an MoTBF Bayesian Network
preprocessedData	Data cleaning
print.jointmotbf	Print object of class motbf 'print' method for class '"motbf"'.
print.motbf	Print object of class motbf 'print' method for class '"motbf"'.
print.motbf.fit.node	Print object of class motbf 'print' method for class '"motbf"'.
print.motbf_fit	Print object of class motbf 'print' method for class '"motbf"'.
print.motbf_fit_cv	Print object of class motbf 'print' method for class '"motbf"'.
print.piecewisemop	Print object of class motbf 'print' method for class '"motbf"'.
print.summary.jointmotbf	Summarize an '"motbf"' object by describing its main features.
print.summary.piecewisemop	Summarize an '"motbf"' object by describing its main features.
print.summary.univmotbf	Summarize an '"motbf"' object by describing its main features.
print.univmotbf	Print object of class motbf 'print' method for class '"motbf"'.
printConditional	Summary of conditional MoTBF densities
probDiscreteVariable	Probability distribution of discrete variables

-- Q --

quantileIntervals	Data pre-processing utilities
query	Conditional probability queries

-- R --

r.data.frame	Initialize Data Frame
rescaledFunctions	Rescaling MoTBF functions
rescaledMOP	Rescaling MoTBF functions
rescaledMoTBFs	Rescaling MoTBF functions
rescaledMTE	Rescaling MoTBF functions
rescale_data	Scale data
rescale_motbf_fit	Rescaling MoTBF functions
rMoTBF	Random generation for MoTBF distributions
rnormMultiv	Multivariate Normal sampling

-- S --

sample_motbfs	Generate Samples From an MoTBF Bayesian network
scaleData	Data pre-processing utilities
select	Learning conditional MoTBF densities
splitdata	Dataset subsetting
splitFolds	Dataset subsetting
standardizeDataset	Data pre-processing utilities
subclass	Check MoTBF Classes and Subclasses
subsetData	Dataset subsetting
summary.jointmotbf	Summarize an '"motbf"' object by describing its main features.
summary.motbf	Summarize an '"motbf"' object by describing its main features.
summary.motbf_fit_cv	Summarize an '"motbf"' object by describing its main features.
summary.piecewisemop	Summarize an '"motbf"' object by describing its main features.
summary.univmotbf	Summarize an '"motbf"' object by describing its main features.

-- T --

thyroid	Data set Thyroid Disease (thyroid0387)
ToStringRe_MTE	Rescaling MoTBF functions
TrainingandTestData	Dataset subsetting

-- U --

univMoTBF	Fitting MoTBFs
UpperBoundLogLikelihood	Upper bound of the loglikelihood

-- V --

variableElimination	Exact inference
variableSelection	Variable selection for MoTBFs

-- W --

Data pre-processing utilities