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Towards Confidence Estimates in Cascade Networks using the SelectBoost Package
...Cascade Networks using the SelectBoost Package Frédéric Bertrand and Myriam Maumy-Bertrand Université de Strasbourg and CNRSIRMA, labex IRMIA frederic.bertrand@utt.fr 2022-11-29 #Introduction Aims...
/CRAN/packages/SelectBoost/vignettes/confidence-indices-Cascade-networks.html
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Working with Network Objects in EpiModel
...network models with custom modules. More information about these in the “New Network Models with EpiModel” section of the EpiModel tutorials. Inside the simulation, the networks themselves...
/CRAN/packages/EpiModel/vignettes/network-objects.html
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Signed Networks
Signed Networks This vignette describes signed networks and how they are implemented in the signnet package. library(igraph) library(signnet) What are signed networks? Traditional SNA usually deals...
/CRAN/packages/signnet/vignettes/signed_networks.html
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Perform network meta-analysis
Perform network meta-analysis Loukia M. Spineli Latest version: 2024-03-24 Introduction Example on a binary outcome Perform Bayesian random-effects network meta-analysis Run...
/CRAN/packages/rnmamod/vignettes/perform_network_metaanalysis.html
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Using dogesr to check Venetian social networks before and after the Serrata
...social networks before and after the Serrata JJ Merelo 2023-08-21 Introduction Using data from dogesr (Merelo-Guervós 2022), we will, in this vignette, analyze the change of the social network before...
/CRAN/packages/dogesr/vignettes/doges-split-social-network.html
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Description of the network
Description of the network Loukia M. Spineli Latest version: 2024-03-24 Introduction Example on a binary outcome Dataset preparation The network plot Network characteristics Distribution of the outcome...
/CRAN/packages/rnmamod/vignettes/network_description.html
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Networks
Networks Get Followers and Follows You can retrieve a list of followers and those followed by a user through the get_followers and get_follows functions, respectively. This gives a glimpse of their...
/CRAN/packages/atrrr/vignettes/Networks.html
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Computing the betweenness of the doges social network using DNSL method
...network using DNSL method JJ Merelo 2024-04-10 Introduction Using data from dogesr (Merelo-Guervós 2022), we will, in this vignette, correct the betweenness centrality of the doges social network...
/CRAN/packages/dupNodes/vignettes/doges-social-network.html
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API for Callback Functions for Network and WtNetwork Structures
...for Callback Functions for Network and WtNetwork Structures Pavel N. Krivitsky Overview Types of storage and types of term The callback API provides a way for a Network structure to signal precisely...
/CRAN/packages/ergm/vignettes/Network-Callback-API.html
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Using dogesr to work with the social network of Venetian doges’ families
...network of Venetian doges’ families JJ Merelo 2023-08-21 Introduction Using data from dogesr (Merelo-Guervós 2022), we will, in this vignette, analyze a sample of the social network of Venetian...
/CRAN/packages/dogesr/vignettes/doges-social-network.html
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Computing the betweenness of the Florentine social network using DNSL method
...of the Florentine social network using DNSL method JJ Merelo 2024-04-10 Introduction Using data from the well known dataset of relations between Florentine families Padgett and Ansell (1993)...
/CRAN/packages/dupNodes/vignettes/florentine-social-network.html
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Pull stream network associated with a waterbody catchment
Pull stream network associated with a waterbody catchment Jemma Stachelek 2023-08-11 The goal of this vignette is to demonstrate how to pull the stream network associated with a waterbody catchment.
/CRAN/packages/nhdR/vignettes/network.html
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Differential Networks
...Networks Differential networks are a powerful tool that have seen a significant amount of recent attention within various scientific communities. This is largely attributed to their ability...
/CRAN/packages/dineR/vignettes/Differential-Networks.html
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missSBM: a case study with war networks
missSBM: a case study with war networks missSBM team Last update: 2023-10-24 Prerequisites The war network Generating missing data Estimation with missing data Estimation on fully observed network...
/CRAN/packages/missSBM/vignettes/case_study_war_networks.html
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MGDrivE2: Metapopulation Network Lifecycle Dynamics
...use the facilities provided by MGDrivE2 to run simulations of gene drive dynamics on metapopulation networks; a network of mosquito breeding sites where edges represent the directed per-capita rate of ...
/CRAN/packages/MGDrivE2/vignettes/lifecycle-network.html
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Analyzing Networks with gretel
...Networks with gretel In analyzing social networks, it is often important to quantify the value of a path in terms of its constituent ties. We may be interested in identifying an optimal path (geodesic)...
/CRAN/packages/gretel/vignettes/analyzing-networks-with-gretel.html
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Training neural networks
...neural networks Maximilian Pichler 2024-03-06 Abstract This vignette helps to address certain problems that occur when training neural networks (NN) and gives hints on how to increase the likelihood...
/CRAN/packages/cito/vignettes/B-Training_neural_networks.html
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Topological Sort Based Network Attributes
...model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts. This article formed an early draft of this paper: Generating a reference flow network with...
/CRAN/packages/hydroloom/vignettes/advanced_network.html
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Merging route networks
...networks # library(stplanr) devtools::load_all() library(dplyr) library(tmap) library(ggplot2) library(tmaptools) rnet_x = sf::read_sf("https://github.com/ropensci/stplanr/releases/download/v1.0.2/...
/CRAN/packages/stplanr/vignettes/merging-route-networks.html
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Network tools for finding extended pedigrees and path tracing
Network tools for finding extended pedigrees and path tracing Introduction This vignette showcases two key features that capitalize on the network structure inherent in pedigrees: Finding extended...
/CRAN/packages/BGmisc/vignettes/network.html
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Basin Networks
Basin Networks Setup Load Packages and Import Files # Load Packages library(HYPEtools) library(sf) # Get Path to HYPEtools Model Example Files model_path <- system.file("demo_model"...
/CRAN/packages/HYPEtools/vignettes/basin_network.html
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MGDrivE2: Metapopulation Network Epidemiological Dynamics
...Network Epidemiological Dynamics Table of Contents Parameterization Initialization of the Petri Net Equilibrium Conditions and Hazard Functions Simulation of Fully Specified SPN Model Deterministic...
/CRAN/packages/MGDrivE2/vignettes/epi-network.html
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Benchmarking the SelectBoost Package for Network Reverse Engineering
...benchmark of the use of the selectboost algorithm for stable and robust scale free network reverse engineering. It differs from the vignette Towards confidence estimates in Cascade Networks using...
/CRAN/packages/SelectBoost/vignettes/benchmarking-selectboost-networks.html
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netmap: representing spatial networks with ggplot2
netmap: representing spatial networks with ggplot2 Introduction Some data sets are relational data sets, they represent relations between their units and which unit is connected to which ones...
/CRAN/packages/netmap/vignettes/netmap.html
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Overview of using SBIC for network models
...SBIC for network models library(SBICgraph) #> #> Attaching package: 'SBICgraph' #> The following object is masked from 'package:stats': #> #> simulate library(network) # for visualization #> network...
/CRAN/packages/SBICgraph/vignettes/overview.html
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Analysing multiple networks
...networks Using rSETSe This vignette walks through a simple analysis shown in the paper The spring bounces back (arXiv:2007.09437), using 5 network classes known as Peels quintet (Peel et al 2018 doi...
/CRAN/packages/rsetse/vignettes/separate-peels-quintet.html
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Route networks with stplanr
...Route networks represent the network of highways, cycleways, footways and other ways along which transport happens. You can get route network data from OpenStreetMap (e.g. via the osmdata...
/CRAN/packages/stplanr/vignettes/stplanr-route-nets.html
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Signed Two-Mode Networks
...describes methods implemented to analyze signed two-mode networks. library(igraph) library(signnet) Projections A common analytic tool for two-mode networks is to project the network onto on relevant...
/CRAN/packages/signnet/vignettes/signed_2mode.html
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Networks
Networks Helen Kettle This vignette is only for plotting networks in microPop, please see the basic microPop vignette if you are new to microPop. Use browseVignettes('microPop')...
/CRAN/packages/microPop/vignettes/plottingNetworks.html
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CRAN top 20s and interactive package and collaboration networks
CRAN top 20s and interactive package and collaboration networks Ioannis Kosmidis 2022-08-26 cranly cranly provides core visualizations and summaries for the CRAN package database. It is aimed mainly...
/CRAN/packages/cranly/vignettes/cranly.html
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Node-Level Network Properties
Node-Level Network Properties Introduction Node-level network properties are properties that pertain to each individual node in the network graph. Some are local properties, meaning that their...
/CRAN/packages/NAIR/vignettes/node_properties.html
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Artificial Hydrocarbon Networks in R
...networks developed by Hiram Ponce. Most of the work is based on the book Artificial Organic Networks. Quick Start Here are some quick examples to get you started. Create a network for a SISO sytem The...
/CRAN/packages/ahnr/vignettes/ahn.html
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Non-dendritic networks
...network. This vignette expands those topics by describing hydroloom functionality that supports non-dendritic networks. Non-dendritic topology attributes. Non-dendritic networks represent downstream...
/CRAN/packages/hydroloom/vignettes/non-dendritic.html
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Custom Network Statistics
...Fit Model Examples Expected Influence Bridge Strength Assortment Note References Background This vignette describes a new feature to BGGM (2.0.0) that allows for computing custom network statistics...
/CRAN/packages/BGGM/vignettes/netstat_custom.html
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Indirect relations in networks
...Background A one-mode network can be described as a dyadic variable \(x\in \mathcal{W}^\mathcal{D}\), where \(\mathcal{W}\) is the value range of the network (in the simple case of unweighted networks...
/CRAN/packages/netrankr/vignettes/indirect_relations.html
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Network k Functions
Network k Functions Jeremy Gelb 2023-08-22 Introduction The K-function is a method used in spatial Point Pattern Analysis (PPA) to inspect the spatial distribution of a set of points. It allows the...
/CRAN/packages/spNetwork/vignettes/KNetworkFunctions.html
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Dual-Chain Network Analysis
Dual-Chain Network Analysis For single-cell data, cell-level network analysis can be performed based on joint similarity in alpha chain sequence and beta chain sequence. We simulate some toy...
/CRAN/packages/NAIR/vignettes/dual_chain.html
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Resistor networks in R: the ResistorArray package
Resistor networks in R: the ResistorArray package Robin K. S. Hankin Abstract This paper introduces the ResistorArray package of R routines, for analysis of resistor networks. An earlier version...
/CRAN/packages/ResistorArray/vignettes/ResistorArray.pdf
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Reconstructing mult-omics networks with coglasso
...of the coglasso package to reconstruct a multi-omics network. The package implements and R interface to collaborative graphical lasso, a network estimation algorithm based on graphical lasso (Friedman...
/CRAN/packages/coglasso/vignettes/coglasso.html
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Network Segregation and Homophily
Network Segregation and Homophily Michał Bojanowski February 15, 2021 1 Data 2 Mixing matrix 2.1 Mixing data frames 3 Measures 3.1 Assortativity coefficient 3.2 Coleman’s homophily index 3.3 E-I 3.4...
/CRAN/packages/netseg/vignettes/netseg.html
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Stochastic Block Models for Multiplex networks
...networks Principle and illustration team großBM 2024-01-31 Preliminaries Requirements Multiplex network data Stochastic Block models for multiplex networks General formulation of the model Dependent...
/CRAN/packages/sbm/vignettes/MultiplexNetwork_principle.html
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Positional dominance in networks
Positional dominance in networks This vignette describes the concept of positional dominance, the generalization of neighborhood-inclusion for arbitrary network and attribute data. Additionally...
/CRAN/packages/netrankr/vignettes/positional_dominance.html
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Frank et al. (2018): Neuronal Network IVIVE
...Network IVIVE John F. Wambaugh September 25, 2019 Please send questions to wambaugh.john@epa.gov from “Defining toxicological tipping points in neuronal network development” Christopher L. Frank...
/CRAN/packages/httk/vignettes/Vd_Frank2019.html
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Network inference and analysis of CLL data
Network inference and analysis of CLL data Frédéric Bertrand and Myriam Maumy-Bertrand Université de Strasbourg et CNRS,IRMA, labex IRMIA frederic.bertrand@utt.fr 2022-11-29 Data preparation...
/CRAN/packages/Patterns/vignettes/ExampleCLL.html
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Illustration on a simulated multipartite network
...network. GREMLINS includes a function rMBM to simulate multipartite networks. Mathematical details can be found in Bar-Hen, Barbillon, and S. (2021). Simulation of a complex multipartite network.
/CRAN/packages/GREMLINS/vignettes/SimulatedNetwork.html
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Analysis of a mutualistic multipartite ecological network with GREMLINS
...of a mutualistic multipartite ecological network with GREMLINS Sophie Donnet, Pierre Barbillon 2023-03-10 The dataset Formatting the data Inference Plots References Note that the sbm package is much...
/CRAN/packages/GREMLINS/vignettes/EcologicalNetwork.html
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Neighborhood-inclusion in networks
...networks This vignette describes the concept of neighborhood-inclusion, its connection with network centrality and gives some example use cases with the netrankr package. The partial ranking induced...
/CRAN/packages/netrankr/vignettes/neighborhood_inclusion.html
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Temporal Network Kernel Density Estimate
...and network spaces. The spatio-temporal kernel is calculated as the product of the network kernel density and the time kernel density. For a sample point at location l and time t, the Temporal Network...
/CRAN/packages/spNetwork/vignettes/TNKDE.html
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scapGNN: Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis
...Xudong Han and Xuejiang Guo 2023-08-08 Introduction Data preprocessing single-cell RNA-seq data single-cell ATAC-seq data Construct gene-cell association network Infer pathway activity score matrix...
/CRAN/packages/scapGNN/vignettes/vignette.html
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BASiNET - Classification of RNA sequences using complex network theory
...-coding RNA may be included. The classification is made from measurements drawn from complex networks, for each RNA sequence a complex network is created. The networks are formed of vertices and edges...
/CRAN/packages/BASiNET/vignettes/BASiNET.html
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Stochastic Block Models for Multiplex networks
...Models for Multiplex networks War and Alliance case study team großBM 2024-01-31 Preliminaries Requirements Data set Data manipulation Fitting a multiplex SBM model where the two layers are assumed...
/CRAN/packages/sbm/vignettes/Multiplex_allianceNwar_case_study.html
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spreadr: A R package to simulate spreading activation in a network
spreadr: A R package to simulate spreading activation in a network Cynthia S. Q. Siew 2021-05-11 Introduction The notion of spreading activation is a prevalent metaphor in the cognitive sciences...
/CRAN/packages/spreadr/vignettes/spreadr_vignette.html
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Network-Based R-statistics for mixed-effects models
...phenotypic information of the subjects/sessions (1: subject ID; 2: Sex; 3: Session 1-3), the remaining 120 variables include the upper triangle edges of a network of 16 brain regions (fMRI functional...
/CRAN/packages/NBR/vignettes/NBR-LME.html
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Network
...node in the sunburst and tree plot. steps Step 1: Select a data set of Knowledge network construction method. Step 2: Select some target nodes (green rows) as candidate nodes to display the network.
/CRAN/packages/kesernetwork/vignettes/getstarted.html
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MBNMAdose: Perform Network Meta-Regression
MBNMAdose: Perform Network Meta-Regression Hugo Pedder 2024-04-18 Network meta-regression Data preparation Modelling Independent, agent-specific interactions Random effect interaction Common effect...
/CRAN/packages/MBNMAdose/vignettes/metaregression-6.html
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Severn_01: Set up of a semi-distributed GR model network
...-distributed GR model network David Dorchies library(airGRiwrm) #> Le chargement a nécessité le package : airGR #> #> Attachement du package : 'airGRiwrm' #> Les objets suivants sont masqués depuis...
/CRAN/packages/airGRiwrm/vignettes/V01_Structure_SD_model.html
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The dependency network of all CRAN packages
...network of all CRAN packages 2023-08-17 In the introduction we have see that a dependency network can be built using get_dep(). While it is theoretically possible to use get_dep() iteratively...
/CRAN/packages/crandep/vignettes/cran.html
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Intertwining phylogenetic trees and networks: R Example Script
...Guido Grimm Jänner 23, 2023 Description: This script provides examples of the new functions available in the phangorn library to ‘intertwine’ trees and networks, i.e. compare trees and networks...
/CRAN/packages/phangorn/vignettes/IntertwiningTreesAndNetworks.html
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MoEClust: Gaussian Parsimonious Clustering Models with Gating and Expert Network Covariates and a Noise Component
MoEClust: Gaussian Parsimonious Clustering Models with Gating and Expert Network Covariates and a Noise Component Keefe Murphy 2023-12-10 Introduction MoEClust is an R package which fits finite...
/CRAN/packages/MoEClust/vignettes/MoEClust.html
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Sparse structure estimation for multivariate count data with PLN-network
...PLNnetwork model Adjusting a collection of network - a.k.a. a regularization path Structure of PLNnetworkfamily Exploring the path of networks Model selection issue: choosing a network Structure of a...
/CRAN/packages/PLNmodels/vignettes/PLNnetwork.html
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Automatic knowledge classification based on keyword co-occurrrence network
...co-occurrrence network Hope (Huang Tian-Yuan) Introduction Short for automatic knowledge classification, akc is an R package used to carry out keyword classification based on network science (mainly...
/CRAN/packages/akc/vignettes/akc_vignette.html
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Proxies and Certificates on Windows Networks
Proxies and Certificates on Windows Networks This document describes a few notes specifically for Windows users on networks with custom certificates or proxy settings. For regular Windows users, things...
/CRAN/packages/curl/vignettes/windows.html
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Working with Allbus 2010 ego-centered network data using egor
...Allbus 2010 ego-centered network data using egor Till Krenz 2024-02-01 Note: The data used in this vignette is simulated based on the the original Allbus 2010 SPSS data by GESIS. The dataset simulates...
/CRAN/packages/egor/vignettes/egor_allbus.html
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Custom Network Comparison Tests
...Network Comparison Tests Introdution A key feature of nct is the ability to test anything hypothesis, as opposed to the set of defaults provided in the R package NetworkComparisonTest (Van Borkulo et...
/CRAN/packages/GGMncv/vignettes/nct_custom.html
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NetWeaver: Graphic Presentation of Complex Genomic and Network Data Analysis
...Genomic and Network Data Analysis Minghui Wang, Bin Zhang 2019-02-26 Scope This guide provides an overview of using the R package NetWeaver for visualizing complex structural features of network...
/CRAN/packages/NetWeaver/vignettes/netweaver.html
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Estimating Semantic Networks
...semantic networks can now be estimated. In the last few years, various computational approaches have been proposed to estimate semantic networks from verbal fluency data (Goñi et al., 2011; Kenett...
/CRAN/packages/SemNetCleaner/vignettes/Estimating.html
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Using spatsoc in social network analysis - grouping functions
...network analysis - grouping functions Alec Robitaille, Quinn Webber and Eric Vander Wal 2023-09-07 spatsoc can be used in social network analysis to generate gambit of the group format data from GPS...
/CRAN/packages/spatsoc/vignettes/using-in-sna.html
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Network Plots
...to make network plots. R packages # need the developmental version if (!requireNamespace("remotes")) { install.packages("remotes") } # install from github remotes::install_github("donaldRwilliams/BGGM")...
/CRAN/packages/BGGM/vignettes/netplot.html
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GET: Hotspot detection on a linear network
...hotspots on a linear network can be performed using the R package GET (Myllymäki and Mrkvička 2023). Keywords: false discovery rate, hotspot, linear network, Monte Carlo test, road accidents...
/CRAN/packages/GET/vignettes/HotSpots.pdf
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Using egor to analyse ego-centered network data
...analyse ego-centered network data Till Krenz 2024-02-01 The egor Package egor provides import functions egor object organizes ego-centered network, allowing for a smooth workflow dplyr methods: enable...
/CRAN/packages/egor/vignettes/using_egor.html
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ggnetwork: Network geometries for ggplot2
...Network geometries for ggplot2 François Briatte 2024-02-14 Minimal example Main building blocks ggnetwork fortify.network and fortify.igraph geom_edges geom_nodes More building blocks geom_nodetext...
/CRAN/packages/ggnetwork/vignettes/ggnetwork.html
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Qualtrics & egor: Setting up and analysing an ego-centered network survey with Qualtrics and egor
...and analysing an ego-centered network survey with Qualtrics and egor Joy Losee, Till Krenz Structure of an ego-centered network survey Best practices Create an Ego-Centered Network Survey Fixed-Choice...
/CRAN/packages/egor/vignettes/qualtrics.html
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An introduction to network meta-analysis using the viscomp package
...to network meta-analysis using the viscomp package Georgios Seitidis When multi-component (complex) interventions are present in a network meta-analysis model we usually interested on: identifying the...
/CRAN/packages/viscomp/vignettes/viscomp.html
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netgsa: Network-based Gene Set Analysis
...network information (e.g. curated edges from KEGG) to improve the power of pathway enrichment analysis with NetGSA. Details of the method are avaialble in Ma, Shojaie, and Michailidis (2016). netgsa...
/CRAN/packages/netgsa/vignettes/netgsa.html
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Custom Network Comparisons
Custom Network Comparisons Donny Williams 5/19/2020 Background Basic Idea R packages Data Illustrative Examples Correlation Step 1: Define Custom Function Step 2: Compute the Observed Score Step...
/CRAN/packages/BGGM/vignettes/ppc_custom.html
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Bayesian network meta analysis
...network meta analysis Michael Seo and Christopher Schmid 2024-02-11 In this vignette, we describe how to run a Bayesian network meta-analysis model using this package. First, we’ll need to load the...
/CRAN/packages/bnma/vignettes/bnma.html
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General Regression Neural Networks (GRNNs) package
General Regression Neural Networks (GRNNs) package Shufeng Li 2021-09-06 The goal of GRNNs is to build a GRNN model using different functions. The traditional GRNN use euclidean distance (Specht, 1991)...
/CRAN/packages/GRNNs/vignettes/GRNNs.html
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Network based discrimanent analysis
Network based discrimanent analysis library(NetDA) Real data example We demonstrate standard analysis of classification and prediction based on two functions in the NetDA package. In this study...
/CRAN/packages/NetDA/vignettes/NetDA_vignette.html
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A short introduction to cross-network analysis with xnet
...cross-network analysis with xnet Meys Joris 2020-02-03 Concepts and terms used in the package. Notation and naming of networks in the package Networks exist in all forms and shapes. xnet is a simple...
/CRAN/packages/xnet/vignettes/xnet_ShortIntroduction.html
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An Introduction to Latent Order Logistic (LOLOG) Network Models
...class of models is fully general and terms modeling different important network features can be mixed and matched to provide a rich generative description of complex networks. Networks tend to evolve...
/CRAN/packages/lolog/vignettes/lolog-introduction.pdf
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Street networks and time-based routing
...Padgham 2023-06-02 1 Street Networks and Time-Based Routing This vignette describes the use of the dodgr package for routing through street networks, specifically for Open Street Map (OSM) networks...
/CRAN/packages/dodgr/vignettes/times.html
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Computing diffusion distances between network’s nodes
...diffusion distances between network’s nodes library(diffudist) The diffusion distance Let \(G=(V,E)\) be a single-layer unweighted and undirected network. Let \(\mathbf{A}\) be its adjacency matrix...
/CRAN/packages/diffudist/vignettes/diffudist-package.html
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Network-Valued Data Analysis
...a network itself. This is the data with which we can make inference on populations of networks from samples of networks. The nevada package proposes a specific nvd class to handle network-valued data.
/CRAN/packages/nevada/vignettes/nevada.html
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Severn_03: Calibration of an open-loop influenced flow model network
...model network David Dorchies library(airGRiwrm) Presentation of the study case The calibration results shown in vignette ‘V02_Calibration_SD_model’ for the flows simulated on the Avon at Evesham...
/CRAN/packages/airGRiwrm/vignettes/V03_Open-loop_influenced_flow.html
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An introduction to econullnetr: null model analysis for ecological networks
...networks Ian Vaughan 2021-06-01 Introduction Networks of species interactions are regularly plotted and analysed in ecology. Many of these networks are bipartite, such as pollinators and flowers, seed...
/CRAN/packages/econullnetr/vignettes/econullnetr-intro.html
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Network Kernel Density Estimate
Network Kernel Density Estimate Jeremy Gelb 2023-08-22 Quick introduction to NKDE The three versions of NKDE Simple method Discontinuous NKDE Continuous NKDE NKDE in spNetwork An example with adaptive...
/CRAN/packages/spNetwork/vignettes/NKDE.html
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LeabRa: Biologically realistic neural networks based on Leabra in R
...neural network algorithm (O’Reilly, 1996) for R. Leabra stands for “local error driven and associative biologically realistic algorithm”. It is the Rolls Royce of artificial neural networks...
/CRAN/packages/leabRa/vignettes/leabRa.html
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Extracting information from cranly package networks: extractors and word clouds
...cranly package networks: extractors and word clouds Ioannis Kosmidis 2022-08-26 cranly extractor functions Since version 0.3, cranly includes functions for extracting information from cranly_network...
/CRAN/packages/cranly/vignettes/extractors.html
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: An package to analyze discourse networks in educational contexts
discourseGT: An R package to analyze discourse networks in educational contexts 1 1.1 discourseGT Workflow General Workflow The functions of discourseGT were designed to be as modular as possible...
/CRAN/packages/discourseGT/vignettes/discourseGT.pdf
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Reconstructing Phenotype-Specific Single-Omics Networks with SmCCNet
Reconstructing Phenotype-Speci昀椀c Single-Omics Networks with SmCCNet Weixuan Liu Katerina Kechris 2024-04-15 Contents 0.1 SmCCNet...
/CRAN/packages/SmCCNet/vignettes/SmCCNet_Vignette_SingleOmics.pdf
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Severn_02: Calibration of a GR4J semi-distributed model network
Severn_02: Calibration of a GR4J semi-distributed model network David Dorchies airGRiwrm automates the execution of airGR semi-distributed models. The steps for running or calibrating the model...
/CRAN/packages/airGRiwrm/vignettes/V02_Calibration_SD_model.html
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fssemR: Fused Sparse Structural Equation Models to Jointly Infer Gene Regulatory Networks
...Networks Xin Zhou 2022-02-11 In this vignette, we introduce the functionality of the fssemR package to estimate the differential gene regulatory network by gene expression and genetic perturbation...
/CRAN/packages/fssemR/vignettes/fssemR.pdf
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DIY overdispersed Poisson network model
DIY overdispersed Poisson network model Peter Hoff 2024-02-20 Many network outcomes are counts, such as the number of emails between individuals or the number of conflicts between countries. One way to...
/CRAN/packages/amen/vignettes/diy_Poisson_demo.html
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2. Network pre-processing and cleaning
...the network after construction. This vignette presents some examples that may be of use when going through this phase. library(sfnetworks) library(sf) library(tidygraph) library(igraph) library(dbscan)...
/CRAN/packages/sfnetworks/vignettes/sfn02_preprocess_clean.html
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DIY modeling of a binary network outcome
DIY modeling of a binary network outcome Peter Hoff 2024-02-20 The amen package provides wrapper functions ame and ame_rep for fitting a wide variety of AME models. However, wrapper...
/CRAN/packages/amen/vignettes/diy_binary_demo.html
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Modeling a binary network outcome
...(0,0,1)) dimnames(Xd)[[3]]<-c("advice","cowork","samepractice") dimnames(Xd)[[3]] ## [1] "advice" "cowork" "samepractice" dimnames(Xn)[[2]] ## [1] "female" "seniority" "age" "practice" plot the network...
/CRAN/packages/amen/vignettes/binary_demo.html
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Examples to build region-level connectivity network
Examples to build region-level connectivity network Xubo Yue, Chia-Wei Hsu, Jian Kang 2018-04-26 Vignette Info This vignette provides you a simple example to construct region-level connectivity network.
/CRAN/packages/brainKCCA/vignettes/brainKCCA.html
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Recurrent Neural Network
Recurrent Neural Network Bastiaan Quast 2023-04-21 Package This package includes an example Recurrent Neural Network. The package is loaded using: library(rnn) ## ## Attaching package: 'rnn' ## The...
/CRAN/packages/rnn/vignettes/rnn.html
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I. Introduction to National Phenology Network Observational Data
...Network Observational Data Lee Marsh 2024-02-08 Introduction The USA National Phenology Network (USA-NPN) is a USGS funded organization that collects phenological observation records from volunteer...
/CRAN/packages/rnpn/vignettes/I_introduction.html
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Vicus: Exploiting local structures to improve network-based analysis of biological data
...local structures to improve network-based analysis of biological data Koki Tsuyuzaki Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research k.t.the-answer@hotmail.co.jp...
/CRAN/packages/Vicus/vignettes/Vicus.html
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