Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions


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Documentation for package ‘MoTBFs’ version 1.2

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A B C D E F G I J L M N P Q R S T U W

-- A --

as.character.jointmotbf Class '"jointmotbf"'
as.character.motbf Class '"motbf"'
as.function.jointmotbf Coerce a '"jointmotbf"' Object to a Function
as.function.motbf Coerce an '"motbf"' Object to a Function
as.list.jointmotbf Class '"jointmotbf"'
as.list.motbf Class '"motbf"'
asMOPString Parameters to MOP String
asMTEString Parameters to MTE String

-- B --

bestMOP Fitting Polynomial Models
bestMTE Fitting Exponential Models
BiC.MoTBFBN BIC of an MoTBF BN
BICMoTBF Computing the BIC Score of an MoTBF Function
BICMultiFunctions BIC for Multiple Functions
BICscoreMoTBF Learning Conditional Functions

-- C --

Class-JointMoTBF Class '"jointmotbf"'
Class-MoTBF Class '"motbf"'
clean Remove Objects from Memory
coef.jointmotbf Extract Coefficients of a '"jointmotbf"' Object
coef.mop Extract MOP Coefficients
coef.motbf Extract MoTBF Coefficients
coef.mte Extract MTE Coefficients
coefExpJointCDF Degree Function
coeffExp Extract MTE Coefficients
coeffMOP Extract MOP Coefficients
coeffMTE Extract MTE Coefficients
coeffPol Extract MOP Coefficients
conditional Learning Conditional Functions
conditionalMethod Learning Conditional Functions
conditionalmotbf.learning Learning Conditional Functions

-- D --

dataMining Functions to Manipulate a Dataset
derivMOP Derivative MOP
derivMoTBF Derivative MoTBF
derivMTE Derivative MTE
dimensionFunction Dimension of Functions
discreteStatesFromBN Get the states of all discrete nodes from a MoTFB-BN
discreteVariablesStates Functions to Manipulate a Dataset
discreteVariables_as.character Functions to Manipulate a Dataset
discretizeVariablesEWdis Functions to Manipulate a Dataset

-- E --

ecoli Data set Ecoli: Protein Localization Sites
evalJointFunction Evaluate a Joint Function

-- F --

findConditional Find Fitted Conditional MoTBFs
forward_sampling Forward Sampling

-- G --

generateNormalPriorData Prior Data
getBICDiscreteBN Goodness of discrete probabilities
getChildParentsFromGraph Get Relationships in a Network
getCoefficients Get the Coefficients
getlogLikelihoodDiscreteBN Goodness of discrete probabilities
getNonNormalisedRandomMoTBF Ramdom MoTBF
goodnessDiscreteVariables Goodness of discrete probabilities
goodnessMoTBFBN BIC of an MoTBF BN

-- I --

integralJointMoTBF Integral Joint MoTBF
integralMOP Integral MOP
integralMoTBF Integral MoTBF
integralMTE Integral MTE
inversionMethod Random Generation for MoTBFs
is.discrete Check discreteness of a node
is.jointmotbf Class '"jointmotbf"'
is.mop Subclass '"motbf"' Functions
is.motbf Class '"motbf"'
is.mte Subclass '"motbf"' Functions
is.observed Observed Node
is.root Root nodes

-- J --

jointCDF Cumulative Joint Distribution
jointMoTBF Learning Joint Functions
jointmotbf Class '"jointmotbf"'
jointmotbf.learning Learning Joint Functions

-- L --

learn.tree.Intervals Learning Conditional Functions
LearningHC Learning Hybric Bayesian Networks
learnMoTBFpriorInformation Incorporating Prior Knowledge
logLikelihood.MoTBFBN BIC of an MoTBF BN

-- M --

marginalJointMoTBF Marginal Joint MoTBF
meanMOP Rescales an MoTBF Function
mop.learning Fitting Polynomial Models
motbf Class '"motbf"'
MoTBF-Distribution Random Generation for MoTBFs
MoTBFs_Learning Learning MoTBFs in a Network
motbf_type Type of MoTBF
mte.learning Fitting Exponential Models

-- N --

newData Subset a Dataset
newRangePriorData Redefining the Domain
nstates Functions to Manipulate a Dataset
nVariables Number of Variables in a Joint Function

-- P --

parametersJointMoTBF Learning Joint Functions
parentValues Value of Parent Nodes
plot.jointmotbf Bidimensional Plots for "jointmotbf" Objects
plot.motbf Plots for "motbf" Objects
plotConditional Plots for Conditional Functions
posGrid Cumulative Joint Distribution
preprocessedData Remove Missing Values in a Dataset by Rows
print.jointmotbf Class '"jointmotbf"'
print.motbf Class '"motbf"'
print.summary.jointmotbf Summary of a '"jointmotbf"' Object
print.summary.motbf Summary of an '"motbf"' Object
printBN Prints BN Results
printConditional Prints Conditional Functions
printDiscreteBN Prints Discrete Learnings
probDiscreteVariable Probabilities Discrete Variables

-- Q --

quantileIntervals Functions to Manipulate a Dataset

-- R --

r.data.frame Initialize Data Frame
rescaledFunctions Rescales an MoTBF Function
rescaledMOP Rescales an MoTBF Function
rescaledMoTBFs Rescales an MoTBF Function
rescaledMTE Rescales an MoTBF Function
rMoTBF Random Generation for MoTBFs
rnormMultiv Multivariate Normal Sample

-- S --

sample_MoTBFs Generate Samples From Conditional MoTBFs
scaleData Functions to Manipulate a Dataset
select Learning Conditional Functions
splitdata Subset a Dataset
standardizeDataset Functions to Manipulate a Dataset
subclass Subclass '"motbf"' Functions
Subclass-MoTBF Subclass '"motbf"' Functions
subsetData Subset a Dataset
summary.jointmotbf Summary of a '"jointmotbf"' Object
summary.motbf Summary of an '"motbf"' Object

-- T --

thyroid Data set Thyroid Disease (thyroid0387)
ToStringRe_MOP Rescales an MoTBF Function
ToStringRe_MTE Rescales an MoTBF Function
TrainingandTestData Subset a Dataset

-- U --

univMoTBF Fitting MoTBFs
UpperBoundLogLikelihood Upper Bound Loglikelihood

-- W --

whichDiscrete Functions to Manipulate a Dataset