Description: Efficient methods for constructing confidence intervals of monotone
graph invariants, as well as testing for monotone graph properties. Many
packages are available to estimate precision matrices, this package serves as a
tool to extract structural properties from their induced graphs. By iteratively
bootstrapping on only the relevant edge set, we are able to obtain the optimal

Title: GraphPCA, Graphical tools of histogram PCA
Imports: ggplot2, FactoMineR, scatterplot3d, scales,
Author: Brahim Brahim <brahim.brahim@bigdatavisualizations.com> and Sun Makosso-Kallyth <sun.makosso-kallyth@crchuq.ulaval.ca>
Description: This package implements a histogram principal components analysis. It provides numerical and graphical tools to deal with big data.

Author: Brahim Brahim <brahim.brahim@bigdatavisualizations.com> and Sun Makosso-Kallyth <makosso.sun@gmail.com>
Description: Histogram principal components analysis is the generalization of the PCA. Histogram data are adapted to design complex and big data which histograms used as variables (big data adapter). Functions implemented provides numerical and graphical tools of an extension of PCA. Sun Makosso Kallyth (2016) <doi:10.1002/sam.11270>. Sun Makosso Kallyth and Edwin Diday (2012) <doi:10.1007/s11634-012-0108-0>.

Title: A multiplatform GUI for drawing highly customizable common
Description: GrapheR is a multiplatform user interface for drawing
highly customizable graphs in R. It aims to be a valuable help
to quickly draw publishable graphs without any knowledge of R
commands. Six kinds of graphs are available: histogram,
box-and-whisker plot, bar plot, pie chart, curve and scatter

Title: A multiplatform GUI for drawing customizable graphs in R

commands. Six kinds of graph are available: histogram,

Description: GrapheR is a multiplatform user interface for drawing highly customizable graphs in R. It aims to be a valuable help to quickly draw publishable graphs without any knowledge of R commands. Six kinds of graph are available: histogram, box-and-whisker plot, bar plot, pie chart, curve and scatter plot.