Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

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manynet — by James Hollway, 14 days ago

Many Ways to Make, Modify, Mark, and Map Myriad Networks

A set of tools for making, modifying, marking, and mapping many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing and visualizing networks with sensible defaults.

spNetwork — by Jeremy Gelb, 7 months ago

Spatial Analysis on Network

Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) ; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).

wTO — by Deisy Morselli Gysi, a year ago

Computing Weighted Topological Overlaps (wTO) & Consensus wTO Network

Computes the Weighted Topological Overlap with positive and negative signs (wTO) networks given a data frame containing the mRNA count/ expression/ abundance per sample, and a vector containing the interested nodes of interaction (a subset of the elements of the full data frame). It also computes the cut-off threshold or p-value based on the individuals bootstrap or the values reshuffle per individual. It also allows the construction of a consensus network, based on multiple wTO networks. The package includes a visualization tool for the networks. More about the methodology can be found at .

clustNet — by Fritz Bayer, a month ago

Network-Based Clustering

Network-based clustering using a Bayesian network mixture model with optional covariate adjustment.

gnn — by Marius Hofert, a month ago

Generative Neural Networks

Tools to set up, train, store, load, investigate and analyze generative neural networks. In particular, functionality for generative moment matching networks is provided.

NetworkDistance — by Kisung You, 3 years ago

Distance Measures for Networks

Network is a prevalent form of data structure in many fields. As an object of analysis, many distance or metric measures have been proposed to define the concept of similarity between two networks. We provide a number of distance measures for networks. See Jurman et al (2011) for an overview on spectral class of inter-graph distance measures.

MoNAn — by Per Block, 2 months ago

Mobility Network Analysis

Implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) . The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks.

learNN — by Bastiaan Quast, 8 years ago

Examples of Neural Networks

Implementations of several basic neural network concepts in R, as based on posts on \url{ http://qua.st/}.

DamiaNN — by Damian Siniakowicz, 8 years ago

Neural Network Numerai

Interactively train neural networks on Numerai, < https://numer.ai/>, data. Generate tournament predictions and write them to a CSV.

SVN — by Damien Challet, 5 years ago

Statistically Validated Networks

Determines networks of significant synchronization between the discrete states of nodes; see Tumminello et al .