Title: Quantified Risk Assessment Toolkit
Description: An open source risk analysis toolkit based on the OpenFAIR taxonomy
perform a quantifiable, repeatable, and data-driven risk review.
Imports: dplyr, extrafont, ggplot2, mc2d, purrr, readr, readxl, rlang,
(>= 0.4), forcats, statip, knitr, purrrlyr, rmarkdown (>= 1.9),

Authors@R: person("David", "Severski", email = "davidski@deadheaven.com", role = c("aut", "cre"), comment = "https://orcid.org/0000-0001-7867-0459")
Imports: dplyr, extrafont, ggplot2, mc2d, furrr, purrr, readr, readxl,
rlang, scales, stringi, tibble, tidyr, viridis
shiny, testthat, shinytest, EnvStats, covr, mockery

Authors@R: c(person("David", "Severski", email = "davidski@deadheaven.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7867-0459")))

(>= 0.4), forcats, statip, knitr, rmarkdown (>= 1.9), shiny,
testthat, shinytest, EnvStats, covr, mockery

Description: An open source risk analysis toolkit based on the OpenFAIR ontology
Imports: cli, crayon, dplyr, extrafont, ggplot2, mc2d, magrittr, purrr,
readr, readxl, rlang, rstudioapi, scales, stringi, tibble,
Suggests: DT, EnvStats, covr, ggalt (>= 0.4.0), knitr, flexdashboard
(>= 0.4), forcats, furrr, mockery, pander (>= 0.6.1), psych,
rmarkdown (>= 1.9), shiny, shinytest, spelling, statip,

<https://publications.opengroup.org/c20b> and risk analysis standard
<https://publications.opengroup.org/c20a>. Empowers an organization to
(>= 0.4), forcats, furrr, markdown, mockery, pander (>= 0.6.1),
psych, rmarkdown (>= 1.9), shiny, shinytest, spelling, statip,

Description: 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.

Description: 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.