Imports: igraph, stats, heatmaply, pvclust, ggplot2, dendextend

of hierarchical clustering and heatmaps. Multiple network data consists of multiple disjoint
networks that share common graph, node and edge variables. Contains the tools necessary to
convert this raw data into a single dynamic report, summarizing the relationships
of the graph, node and structural characteristics of the networks.

Imports: igraph, heatmaply, pvclust, ggplot2, dendextend

Authors@R: person("Philippe", "Boileau", role = c("aut", "cre"),
Description: Simplify the exploratory data analysis process for multiple network
data sets with the help of hierarchical clustering, consensus
clustering and heatmaps. Multiple network data consists of multiple
disjoint networks that have common variables (e.g. ego networks).
This package contains the necessary tools for exploring such data,
from the data pre-processing stage to the creation of dynamic
Imports: igraph, heatmaply, ConsensusClusterPlus, ggplot2, grDevices,

Title: Negative Binomial Mixed Models Using Large-Sample Approximation
for Differential Expression Analysis of ScRNA-Seq Data
Description: A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.
Imports: Rcpp (>= 1.0.7), nloptr, MASS, stats, Matrix, methods, utils,

Title: A Simple Needmining Implementation
Description: Showcasing needmining (the semi-automatic extraction of customer needs from
social media data) with Twitter data. It uses the handling of the Twitter API provided by
the package 'rtweet' and the textmining algorithms provided by the packages 'RTextTools' and 'tm'.
Niklas Kuehl (2016) <doi:10.1007/978-3-319-32689-4_14> wrote an introduction to the topic of needmining.
Imports: utils, rtweet, stringr, RTextTools, tm