Bayesian Analysis of Location-Scale Mixture Models using a
Weakly Informative Prior
A generic reference Bayesian analysis of unidimensional mixture distributions obtained by a location-scale parameterisation of the model is implemented. The including functions simulate and summarize posterior samples for location-scale mixture models using a weakly informative prior. There is no need to define priors for scale-location parameters except two hyperparameters in which are associated with a Dirichlet prior for weights and a simplex.

Visualization of Structures in High-Dimensional Data
Florian Lerch[aut,cre], Michael Thrun[aut], Felix Pape[ctb], Raphael Paebst[ctb], Alfred Ultsch[aut]
By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Matrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'.
Rcpp, ggplot2, shiny, shinyjs, reshape2, fields, plyr, tcltk,
png, tools, grid, abind, deldir, geometry, pdist, AdaptGauss

By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Pmatrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'.
Rcpp, ggplot2, shiny, shinyjs, reshape2, fields, plyr, png,
tools, grid, abind, deldir, geometry, pdist, AdaptGauss