statnet.common - Common R Scripts and Utilities Used by the Statnet Project Software
Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Last updated 3 months ago
8 stars 7.98 score 3 dependencies 143 dependentsnetwork - Classes for Relational Data
Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.
Last updated 4 months ago
15 stars 7.75 score 15 dependencies 142 dependentsergm - Fit, Simulate and Diagnose Exponential-Family Models for Networks
An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Last updated 9 days ago
95 stars 6.17 score 34 dependencies 34 dependentsrle - Common Functions for Run-Length Encoded Vectors
Common 'base' and 'stats' methods for 'rle' objects, aiming to make it possible to treat them transparently as vectors.
Last updated 3 years ago
1 stars 4.35 score 0 dependencies 35 dependentsergm.multi - Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2023) <doi:10.1080/01621459.2023.2242627>.
Last updated 1 months ago
14 stars 4.26 score 35 dependencies 5 dependentsergm.ego - Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) <doi:10.1214/16-AOAS1010>.
Last updated 3 months ago
14 stars 3.89 score 55 dependencies 2 dependentsergm.count - Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are counts. See Krivitsky (2012) <doi:10.1214/12-EJS696> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Last updated 3 months ago
10 stars 3.70 score 35 dependencies 1 dependentsergm.rank - Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data
A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are ranks. See Krivitsky and Butts (2017) <doi:10.1177/0081175017692623> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Last updated 3 months ago
4 stars 3.59 score 35 dependencies 1 dependentsndtv - Network Dynamic Temporal Visualizations
Renders dynamic network data from 'networkDynamic' objects as movies, interactive animations, or other representations of changing relational structures and attributes.
Last updated 3 months ago
48 stars 3.56 score 57 dependencies 1 dependentsergm.userterms - User-specified Terms for the statnet Suite of Packages
A template package to demonstrate the use of user-specified statistics for use in 'ergm' models as part of the Statnet suite of packages.
Last updated 3 years ago
4 stars 3.36 score 35 dependenciestergm - Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis. See Krivitsky and Handcock (2014) <doi:10.1111/rssb.12014> and Carnegie, Krivitsky, Hunter, and Goodreau (2015) <doi:10.1080/10618600.2014.903087>.
Last updated 1 months ago
27 stars 3.23 score 45 dependencies 3 dependentsnetworkDynamic - Dynamic Extensions for Network Objects
Simple interface routines to facilitate the handling of network objects with complex intertemporal data. This is a part of the "statnet" suite of packages for network analysis.
Last updated 9 months ago
10 stars 3.00 score 22 dependencies 11 dependentslatentnet - Latent Position and Cluster Models for Statistical Networks
Fit and simulate latent position and cluster models for statistical networks. See Krivitsky and Handcock (2008) <doi:10.18637/jss.v024.i05> and Krivitsky, Handcock, Raftery, and Hoff (2009) <doi:10.1016/j.socnet.2009.04.001>.
Last updated 4 months ago
19 stars 2.92 score 39 dependencies 3 dependentsstatnetWeb - A Shiny App for Network Modeling with 'statnet'
A graphical user interface for cross-sectional network modeling with the 'statnet' software suite <https://github.com/statnet>.
Last updated 2 months ago
29 stars 2.71 score 66 dependenciestsna - Tools for Temporal Social Network Analysis
Temporal SNA tools for continuous- and discrete-time longitudinal networks having vertex, edge, and attribute dynamics stored in the 'networkDynamic' format. This work was supported by grant R01HD68395 from the National Institute of Health.
Last updated 10 months ago
7 stars 2.30 score 23 dependencies 2 dependentslolog - Latent Order Logistic Graph Models
Estimation of Latent Order Logistic (LOLOG) Models for Networks. LOLOGs are a flexible and fully general class of statistical graph models. This package provides functions for performing MOM, GMM and variational inference. Visual diagnostics and goodness of fit metrics are provided. See Fellows (2018) <arXiv:1804.04583> for a detailed description of the methods.
Last updated 9 months ago
5 stars 1.41 score 40 dependenciesergmgp - Tools for Modeling ERGM Generating Processes
Provides tools for simulating draws from continuous time processes with well-defined exponential family random graph (ERGM) equilibria, i.e. ERGM generating processes (EGPs). A number of EGPs are supported, including the families identified in Butts (2023) <doi:10.1080/0022250X.2023.2180001>, as are functions for hazard calculation and timing calibration.
Last updated 10 months ago
8 stars 1.40 score 42 dependencies