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mmb
View on CRAN: Click
here
Download and install mmb package within the R console
Install from CRAN:
install.packages("mmb")
Install from Github:
library("remotes")
install_github("cran/mmb") Install by package version:
library("remotes")
install_version("mmb", "0.13.3") Attach the package and use:
library("mmb")
Maintained by
Sebastian Hönel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-23
Latest Update: 2020-09-23
Description:
Supports Bayesian models with full and partial (hence
arbitrary) dependencies between random variables. Discrete and continuous
variables are supported, and conditional joint probabilities and probability
densities are estimated using Kernel Density Estimation (KDE). The full
general form, which implements an extension to Bayes' theorem, as well as
the simple form, which is just a Bayesian network, both support regression
through segmentation and KDE and estimation of probability or relative
likelihood of discrete or continuous target random variables. This package
also provides true statistical distance measures based on Bayesian models.
Furthermore, these measures can be facilitated on neighborhood searches,
and to estimate the similarity and distance between data points.
Related work is by Bayes (1763)
and by Scutari (2010) .
How to cite:
Sebastian Hönel (2020). mmb: Arbitrary Dependency Mixed Multivariate Bayesian Models. R package version 0.13.3, https://cran.r-project.org/web/packages/mmb. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that mmb depends,
imports, suggests or enhances
Complete documentation for mmb
Functions, R codes and Examples using
the mmb R package
Some associated functions: bayesCaret . bayesComputeMarginalFactor . bayesComputeProductFactor . bayesConvertData . bayesFeaturesToSample . bayesInferSimple . bayesProbability . bayesProbabilityAssign . bayesProbabilityNaive . bayesProbabilitySimple . bayesRegress . bayesRegressAssign . bayesRegressSimple . bayesToLatex . centralities . checkBayesFeature . conditionalDataMin . createFeatureForBayes . discretizeVariableToRanges . distance . estimatePdf . getDefaultRegressor . getMessages . getProbForDiscrete . getRangeForDiscretizedValue . getValueKeyOfBayesFeatures . getValueOfBayesFeatures . getWarnings . make.varClosure . neighborhood . sampleToBayesFeatures . setDefaultRegressor . setMessages . setWarnings . vicinities . vicinitiesForSample .
Some associated R codes: a_make.varClosure.R . bayes.R . bayesCaret.R . bayesFeature.R . bayesLatex.R . bayesNaive.R . bayesNeighborhood.R . bayesRegress.R . bayesSimple.R . conditionaData.R . discretization.R . pdfAndProb.R . warnings.R . Full mmb package functions and examples
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