Package: AdaptGauss Type: Package Title: Gaussian Mixture Models (GMM) Version: 1.5.8 Date: 2022-10-15 Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre"), comment = c(ORCID = "0000-0001-9542-5543")),person("Onno", "Hansen-Goos",role=c("aut","rev")),person("Rabea", "Griese",role=c("ctr","ctb")),person("Catharina", "Lippmann",role=c("ctr")),person("Florian", "Lerch",role=c("ctb","rev")),person("Quirin", "Stier",role=c("ctb","rev")),person("Jorn", "Lotsch",role=c("dtc","rev","fnd","ctb")),person("Alfred", "Ultsch",role=c("aut","cph","ths"))) Maintainer: Michael Thrun Description: 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) . Imports: Rcpp, shiny, pracma, methods, DataVisualizations Suggests: mclust, grid, foreach, dqrng, parallelDist, knitr (>= 1.12), rmarkdown (>= 0.9), reshape2, ggplot2, plotly LinkingTo: Rcpp Depends: R (>= 2.10) License: GPL-3 LazyLoad: yes URL: https://www.uni-marburg.de/fb12/datenbionik/software-en Encoding: UTF-8 NeedsCompilation: yes VignetteBuilder: knitr BugReports: https://github.com/Mthrun/AdaptGauss/issues Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev Repository: https://mthrun.r-universe.dev Date/Publication: 2023-07-14 09:28:26 UTC RemoteUrl: https://github.com/mthrun/adaptgauss RemoteRef: HEAD RemoteSha: d0a5d20d90eb51faf41af16c01a507d6e41d9416 Packaged: 2026-06-22 11:53:13 UTC; root Author: Michael Thrun [aut, cre] (ORCID: ), Onno Hansen-Goos [aut, rev], Rabea Griese [ctr, ctb], Catharina Lippmann [ctr], Florian Lerch [ctb, rev], Quirin Stier [ctb, rev], Jorn Lotsch [dtc, rev, fnd, ctb], Alfred Ultsch [aut, cph, ths]