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bayesCaret
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Provides a caret-compatible wrapper around functionality for classification
and regression, as implemented by mmb. |
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bayesComputeMarginalFactor()
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Compute a marginal factor (continuous or discrete random variable). |
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bayesConvertData()
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Convert data for usage within Bayesian models. |
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bayesFeaturesToSample()
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Transform a collection of Bayesian features back to a sample. |
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bayesInferSimple()
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Perform simple (network) Bayesian inferencing and regression. |
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bayesProbability()
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Full Bayesian inferencing for determining the probability or
relative likelihood of a given value. |
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bayesProbabilityAssign()
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Assign probabilities to one or more samples, given some training data. |
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bayesProbabilityNaive()
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Naive Bayesian inferencing for determining the probability or
relative likelihood of a given value. |
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bayesProbabilitySimple()
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Assign a probability using a simple (network) Bayesian classifier. |
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bayesRegress()
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Perform full-dependency Bayesian regression for a sample. |
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bayesRegressAssign()
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Regression for one or more samples, given some training data. |
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bayesRegressSimple()
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Perform simple (network) Bayesian regression. |
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bayesToLatex()
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Create a string that can be used in Latex in an e.g. equation-environment. |
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centralities()
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Given a neighborhood of data, computes the similarity of each sample
in the neighborhood to the neighborhood. |
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conditionalDataMin()
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Segment data according to one or more random variables. |
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createFeatureForBayes()
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Create a Bayesian feature by name and value. |
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discretizeVariableToRanges()
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Discretize a continuous random variable to ranges/buckets. |
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distance()
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Given a neighborhood of data and two samples from that neighborhood,
calculates the distance between the samples. |
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estimatePdf()
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Safe PDF estimation that works also for sparse random variables. |
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getDefaultRegressor()
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Get the system-wide default regressor. |
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getMessages()
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Get a boolean indicating whether messages are enabled system-wide. |
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getProbForDiscrete()
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Get a probability of a discrete value. |
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getRangeForDiscretizedValue()
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Get the range-/bucket-ID of a given value. |
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getValueKeyOfBayesFeatures()
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Obtain the type of the value of a Bayesian feature. |
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getValueOfBayesFeatures()
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Obtain the value of a Bayesian feature. |
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getWarnings()
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Get a boolean indicating whether warnings are enabled system-wide. |
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neighborhood()
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Given Bayesian features, returns those samples from a dataset that
exhibit a similarity (i.e., the neighborhood). |
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sampleToBayesFeatures()
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Transform an entire sample into a collection of Bayesian features. |
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setDefaultRegressor()
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Set a system-wide default regressor. |
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setMessages()
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Enable or disable messages system-wide. |
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setWarnings()
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Enable or disable warnings system-wide. |
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vicinities()
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Segment a dataset by each row once, then compute vicinities of
samples in the neighborhood. |
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vicinitiesForSample()
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Segment a dataset by a single sample and compute vicinities for it and
the remaining samples in the neighborhood. |