Calculates Basic Network Measures Commonly Used in Network
Medicine
Calculates network measures such as Largest Connected Component (LCC), Proximity, Separation, Jaccard Index,
along with permutation, when needed.
igraph, magrittr, wTO, CoDiNA, dplyr, Rfast, utils, binr

igraph, magrittr, wTO, CoDiNA, dplyr, Rfast, utils, binr,
BiRewire, cubature

igraph, magrittr, wTO, dplyr, Rfast, utils, binr, cubature

NetSim allows to combine and simulate a variety of micro-models to research their impact on the macro-features of social networks.

Actuarial Functions for Non-Life Insurance Modelling
person("Yiannis", "Parizas", email = "yiannis.parizas@gmail.com", role = c("aut", "cre"))
Assists actuaries and other insurance modellers in pricing,
reserving and capital modelling for non-life insurance and
reinsurance modelling. Provides functions that help model
excess levels, capping and pure Incurred but not reported
claims (pure IBNR).
Includes capped mean, exposure curves and increased limit
factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced
LogNormal-Pareto and Sliced Gamma-Pareto distributions.
Includes mean, probability density function (pdf), cumulative
probability function (cdf) and inverse cumulative probability
function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto
distributions.
Includes calculating pure IBNR exposure with LogNormal and
Gamma distribution for reporting delay.

Network Strengths and Weaknesses Analysis
A set of functions for studying network robustness, resilience and vulnerability.

Graphic Presentation of Complex Genomic and Network Data
Analysis
Implements various simple function utilities and flexible pipelines to generate circular images for visualizing complex genomic and network data analysis features.

Statistical inference on populations of weighted or unweighted
networks.
Cedric E Ginestet <cedric.ginestet@kcl.ac.uk>, Andrew Simmons
<andy.simmons@kcl.ac.uk>
Network analysis is a recently adopted phrase, which
reflects the growing utilization of graph theory for the
analysis of a range of different types of connectivity data.
The set of objects contained in this package will particularly
useful for the analysis of population of networks in
neuroimaging, where subject-specific networks are available.
Future versions will include an SPN (statistical parametric
network) object, which permits to summarize one or several
populations of networks.