An open source risk analysis toolkit based on the OpenFAIR ontology
<https://publications.opengroup.org/c20b> and risk analysis standard
<https://publications.opengroup.org/c20a>. Empowers an organization to
perform a quantifiable, repeatable, and data-driven risk review.
DT, EnvStats, covr, ggalt (>= 0.4.0), knitr, flexdashboard
(>= 0.4), forcats, furrr, markdown, mockery, pander (>= 0.6.1),
psych, rmarkdown (>= 1.9), shiny, shinytest, spelling, statip,
testthat

Different evidential distance-based classifiers, which provide
outputs in the form of Dempster-Shafer mass functions. The methods are: the
evidential K-nearest neighbor rule and the evidential neural network.

Various clustering algorithms that produce a credal partition,
i.e., a set of Dempster-Shafer mass functions representing the membership of objects
to clusters. The mass functions quantify the cluster-membership uncertainty of the objects.
The algorithms are: Evidential c-Means (ECM), Relational Evidential c-Means (RECM),
Constrained Evidential c-Means (CECM), EVCLUS and EK-NNclus.

Various clustering algorithms that produce a credal partition,
i.e., a set of Dempster-Shafer mass functions representing the membership of objects
to clusters. The mass functions quantify the cluster-membership uncertainty of the objects.
The algorithms are: Evidential c-Means (ECM), Relational Evidential c-Means (RECM),
Constrained Evidential c-Means (CECM), EVCLUS, EK-NNclus and bootclus.
FNN, R.utils, limSolve, Matrix, mclust, quadprog, plyr

Various clustering algorithms that produce a credal partition,
i.e., a set of Dempster-Shafer mass functions representing the membership of objects
to clusters. The mass functions quantify the cluster-membership uncertainty of the
objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means,
Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential
Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based
Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based
Evidential Clustering.
FNN, R.utils, limSolve, Matrix, mclust, quadprog, plyr,
kernlab, MASS