Author: Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Jorn Lotsch, Alfred Ultsch
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 and Chi-squared test.
Imports: shiny, caTools, mclust, methods

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.

Imports: shiny, caTools, mclust, methods, ggplot2, grid

Author: Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Florian Lerch, Jorn Lotsch, Alfred Ultsch
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)  <DOI:10.3390/ijms161025897>.
Imports: shiny, caTools, methods, ggplot2

Imports: shiny, pracma, methods, ggplot2
Packaged: 2018-07-11 07:48:17 UTC; florianlerch

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("Jorn", "Lotsch",role=c("dtc","rev","fnd")),person("Alfred", "Ultsch",role=c("aut","cph","ths")))
Imports: Rcpp, shiny, pracma, methods, ggplot2, DataVisualizations
Suggests: mclust, grid, foreach, dqrng, parallelDist, knitr (>= 1.12),
Author: Michael Thrun [aut, cre] (<https://orcid.org/0000-0001-9542-5543>),