# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "AdaptGauss" in publications use:' type: software license: GPL-3.0-only title: 'AdaptGauss: Gaussian Mixture Models (GMM)' version: 1.5.8 doi: 10.32614/CRAN.package.AdaptGauss abstract: Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) . authors: - family-names: Thrun given-names: Michael email: m.thrun@gmx.net orcid: https://orcid.org/0000-0001-9542-5543 - family-names: Hansen-Goos given-names: Onno - family-names: Ultsch given-names: Alfred repository: https://mthrun.r-universe.dev repository-code: 'https://github.com/Mthrun/AdaptGauss/issuesConfig/pak/sysreqs: make libicu-dev zlib1g-dev' commit: d0a5d20d90eb51faf41af16c01a507d6e41d9416 url: https://www.uni-marburg.de/fb12/datenbionik/software-en date-released: '2022-10-15' contact: - family-names: Thrun given-names: Michael email: m.thrun@gmx.net orcid: https://orcid.org/0000-0001-9542-5543