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R package for arbitrary dependency mixed multivariate bayesian models for regression, classification and neighborhood search using joint probabilities and Kernel Density Estimation.

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readme.md

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R-package: mmb DOI

This is the repository of the R-package mmb for arbitrary dependency mixed multivariate bayesian models for inferencing, regression and neighborhood search using joint probabilities and Kernel Density Estimation.

Install using CRAN:

install.packages("mmb")

Installation of latest release

The master-branch always contains a release-version. Sometimes there may be a short delay between the master-version and what is on CRAN. In this case, you can still install the latest release using the package devtools (mind the subdir):

R> devtools::install_github("https://github.com/MrShoenel/R-mmb", subdir = "pkg/mmb", ref = "master")

Documentation and function reference

The latest documentation can be found at https://mrshoenel.github.io/R-mmb/.

Citing

Please use the following BibTeX to cite the package mmb:

@article{honel2020rmmb,
	title={mmb: Arbitrary Dependency Mixed Multivariate Bayesian Models},
	DOI={10.5281/zenodo.4046002},
	url={https://doi.org/10.5281/zenodo.4046002},
	note={Install this package from CRAN: install.packages("mmb")},
	publisher={Zenodo},
	author={Sebastian Hönel},
	year={2020},
	month={Sep}
}

Building the package

That's easy! Just run:

> Rscript build.R all

This builds everything, generates manuals (PDF and HTML) and packages the archive.

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R package for arbitrary dependency mixed multivariate bayesian models for regression, classification and neighborhood search using joint probabilities and Kernel Density Estimation.

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