ergm - 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 2 days ago
15.36 score 100 stars 36 dependents 1.4k scripts 9.6k downloadsnetwork - 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 3 months ago
13.29 score 15 stars 146 dependents 3.0k scripts 28k downloadsstatnet.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 18 days ago
11.42 score 8 stars 148 dependents 197 scripts 32k downloadsergm.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 3 months ago
9.67 score 14 stars 5 dependents 11 scripts 3.7k downloadstergm - 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 4 months ago
9.29 score 27 stars 3 dependents 78 scripts 3.7k downloadsergm.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 4 months ago
8.78 score 10 stars 1 dependents 140 scripts 3.2k downloadsndtv - 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 8 months ago
8.36 score 52 stars 1 dependents 254 scripts 1.2k downloadslatentnet - 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 1 months ago
openblas
8.29 score 19 stars 4 dependents 191 scripts 1.3k downloadsergm.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 24 days ago
7.86 score 14 stars 1 dependents 67 scripts 1.2k downloadsnetworkDynamic - 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 4 months ago
7.80 score 11 stars 11 dependents 132 scripts 4.4k downloadstsna - 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 1 years ago
7.51 score 7 stars 2 dependents 93 scripts 2.1k downloadsergm.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 4 months ago
6.98 score 4 stars 1 dependents 9 scripts 388 downloadsrle - 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 4 months ago
6.07 score 2 stars 37 dependents 1 scripts 5.3k downloadsstatnetWeb - 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 8 months ago
5.59 score 29 stars 19 scripts 264 downloadslolog - 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 1 years ago
cpp
5.56 score 5 stars 72 scripts 820 downloadsergm.userterms - User-specified Terms for the statnet Suite of Packages
A non-CRAN 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 25 days ago
5.04 score 4 stars 91 scripts 75 downloadsergmgp - 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 5 months ago
3.60 score 8 stars 1 scripts 201 downloads