Description: A universal Markov chain sampler
Packaged: Tue Jul 10 00:00:27 2007; jkerman

Packaged: Wed Aug  1 21:50:52 2007; jkerman

Description: Universal Markov Chain Sampler
Packaged: Tue Oct  9 22:42:31 2007; jkerman

Title: Visualization of Structures in High-Dimensional Data
Author: Florian Lerch[aut,cre], Michael Thrun[aut], Felix Pape[ctb], Raphael Paebst[ctb], Alfred Ultsch[aut]
Description: 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'.
Imports: Rcpp, ggplot2, shiny, shinyjs, reshape2, fields, plyr, tcltk,
png, tools, grid, abind, deldir, geometry, pdist, AdaptGauss

Description: 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'.
Imports: Rcpp, ggplot2, shiny, shinyjs, reshape2, fields, plyr, png,
tools, grid, abind, deldir, geometry, pdist, AdaptGauss

tools, grid, abind, deldir, geometry, pdist, AdaptGauss, pracma
Packaged: 2020-02-12 12:31:06 UTC; florianlerch

Title: Unbiased Central Moment Estimates
Description: Calculates one-sample unbiased central moment estimates and
two-sample pooled estimates up to 6th order, including unbiased estimates
of powers and products of central moments. Provides the machinery for
obtaining unbiased central moment estimators beyond 6th order.