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stathin
ggm:Graphical Markov Models with Mixed Graphs
Provides functions for defining mixed graphs containing three types of edges, directed, undirected and bi-directed, with possibly multiple edges. These graphs are useful because they capture fundamental independence structures in multivariate distributions and in the induced distributions after marginalization and conditioning. The package is especially concerned with Gaussian graphical models for (i) ML estimation for directed acyclic graphs, undirected and bi-directed graphs and ancestral graph models (ii) testing several conditional independencies (iii) checking global identification of DAG Gaussian models with one latent variable (iv) testing Markov equivalences and generating Markov equivalent graphs of specific types.
Maintained by Giovanni M. Marchetti. Last updated 1 years ago.
7.11 score 295 scripts 29 dependents
muriteams
ergmito:Exponential Random Graph Models for Small Networks
Simulation and estimation of Exponential Random Graph Models (ERGMs) for small networks using exact statistics as shown in Vega Yon et al. (2020) <DOI:10.1016/j.socnet.2020.07.005>. As a difference from the 'ergm' package, 'ergmito' circumvents using Markov-Chain Maximum Likelihood Estimator (MC-MLE) and instead uses Maximum Likelihood Estimator (MLE) to fit ERGMs for small networks. As exhaustive enumeration is computationally feasible for small networks, this R package takes advantage of this and provides tools for calculating likelihood functions, and other relevant functions, directly, meaning that in many cases both estimation and simulation of ERGMs for small networks can be faster and more accurate than simulation-based algorithms.
Maintained by George Vega Yon. Last updated 2 years ago.
ergmexponential-random-graph-modelsstatisticsopenblascppopenmp
9 stars 5.49 score 34 scripts
mojaveazure
mamisc:Miscellaneous Functions by Paul Hoffman
More about what it does (maybe more than one line) Use four spaces when indenting paragraphs within the Description.
Maintained by Paul Hoffman. Last updated 2 years ago.
1.70 score