Combined Selection and Uncertainty Visualiser (CSUV)
doParallel, relaxo, caret, futile.logger, glmnet, ncvreg,
shiny, shinyjs, DT, stats, MASS, datasets, grDevices, utils,
graphics, HDCI, parcor, reshape2, ggplot2
Implementation of CSUV from C. Yuen and P. Fryzlewicz (2020) <arXiv:2003.02791> "Exploiting disagreement between high-dimensional variable selectors for uncertainty visualization". CSUV aims to perform variable selection and illustrate variable selection uncertainties by combining variable selection results from various methods.

doParallel, relaxo, caret, futile.logger, glmnet, ncvreg,
shiny, shinyjs, DT, stats, MASS, datasets, grDevices, utils,
graphics, HDCI, reshape2, ggplot2

Germline and somatic locus data which contain the total read depth and B allele
read depth using Bayesian model (Dirichlet Process) to cluster. Meanwhile, the cluster
model can deal with the SNVs mutation and the CNAs mutation.
lpSolve, mcclust, moments, DNAcopy, stats, R (>= 2.10)

Frequent Contiguous Sequential Pattern Mining of Text
Mines contiguous sequential patterns in text.

Interactive Application for Working with Contingency Tables
An interactive application for working with contingency Tables. The application has a template for solving contingency table problems like chisquare test of independence,association plot between two categorical variables. Runtime examples are provided in the package function as well as at  <https://jarvisatharva.shinyapps.io/CategoricalDataAnalysis/>.

A Method for 'Connecting The Dots' in Weighted Graphs
person("Lillian", "Thistlethwaite", email="lillian.thistlethwaite@bcm.edu", role=c("aut", "cre"))
A method for pattern discovery in weighted graphs. Two use cases are achieved: 1) Given a weighted graph and a subset of its nodes, do the nodes show significant connectedness? 2) Given a weighted graph and two subsets of its nodes, are the subsets close neighbors or distant?
R (>= 4.0), gmp, igraph, stats, grDevices, graphics
knitr, rmarkdown, huge, ggplot2, gplots, RColorBrewer,
testthat