Title: Antigen T Cell Interaction Estimation
Description: The Bayesian hierarchical model named antigen-T cell interaction estimation is to estimate the history of the immune pressure on the evolution of the tumor clones.The model is based on the estimation result from Andrew Roth (2014) <doi:10.1038/nmeth.2883>.

Title: Tools for Working with Samples of Networks
Imports: ggplot2, igraph, brainGraph, methods,Rdpack
Description: Tools for managing large sets of network data and performing whole network analysis.
This package is focused on the network based statistic jackknife method, and
implements a framework that can be extended to other network manipulations and analyses.

Title: Represent Network Objects on a Map
person("Matteo", "Dimai", , "matteo.dimai@phd.units.it", role = c("aut", "cre"),
Description: Represent 'network' or 'igraph' objects whose vertices can be represented by features in an 'sf' object as a network graph surmising a 'sf' plot. Fits into 'ggplot2' grammar.
Imports: ggnetwork, igraph, network, rlang, sf, sna
Author: Matteo Dimai [aut, cre] (<https://orcid.org/0000-0003-1126-5234>)

Title: Micro-Macro Analysis for Social Networks
Description: Estimates micro effects on macro structures (MEMS) and average micro mediated effects (AMME) when using statistical models for network structure.
Imports: MASS, btergm, stats, ergm, RSiena, sna, network, ergMargins,
Suggests: Matrix, igraph, relevent, statnet, statnet.common

Author: Gerta Ruecker <ruecker@imbi.uni-freiburg.de>, Guido Schwarzer <sc@imbi.uni-freiburg.de>
Description: Network meta-analysis following graph-theoretical method by Ruecker (2012)

Author: Gerta Rücker <ruecker@imbi.uni-freiburg.de>, Guido Schwarzer <sc@imbi.uni-freiburg.de>, Ulrike Krahn <krahnu@uni-mainz.de>
Description: Network meta-analysis following methods by Rücker (2012) and Krahn et al. (2013)

Title: Network Meta-Analysis using Frequentist Methods

Description: Network meta-analysis following methods by Rücker (2012) and Krahn et al. (2013).

Description: Network meta-analysis following methods by Rücker (2012) and Krahn et al. (2013). Functions and datasets to support Schwarzer, Carpenter, and Rücker, "Meta-Analysis with R" (2015), Chapter 8 "Network Meta-Analysis".