Arbitrary Dependency Mixed Multivariate Bayesian Models

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Documentation for package ‘mmb’ version 0.13.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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