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ergmito
View on CRAN: Click
here
Download and install ergmito package within the R console
Install from CRAN:
install.packages("ergmito")
Install from Github:
library("remotes")
install_github("cran/ergmito")
Install by package version:
library("remotes")
install_version("ergmito", "0.3-1")
Attach the package and use:
library("ergmito")
Maintained by
George Vega Yon
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ergmito . https://github.com/muriteams/ergmito/issues . https://muriteams.github.io/ergmito/ . ergmito citation info . ergmito results . ergmito.pdf . Extending ergmito . ergmito_0.3-1.tar.gz . ergmito_0.3-1.zip . ergmito_0.3-1.zip . ergmito_0.3-1.zip . ergmito_0.3-1.tgz . ergmito_0.3-1.tgz . ergmito_0.3-1.tgz . ergmito_0.3-1.tgz . ergmito archive . https://CRAN.R-project.org/package=ergmito .
First Published: 2020-02-01
Latest Update: 2023-06-14
Description:
Simulation and estimation of Exponential Random Graph Models (ERGMs)
for small networks using exact statistics as shown in Vega Yon et al. (2020)
. 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.
How to cite:
George Vega Yon (2020). ergmito: Exponential Random Graph Models for Small Networks. R package version 0.3-1, https://cran.r-project.org/web/packages/ergmito. Accessed 09 May. 2025.
Previous versions and publish date:
Other packages that cited ergmito R package
View ergmito citation profile
Other R packages that ergmito depends,
imports, suggests or enhances
Complete documentation for ergmito
Functions, R codes and Examples using
the ergmito R package
Some associated functions: as_adjmat . benchmarkito . blockdiagonalize . check_convergence . count_stats . ergmito . ergmito_boot . ergmito_formulae . ergmito_gof . exact_loglik . extract.ergmito . fivenets . geodesic . induced_submat . matrix_to_network . new_ergmito_ptr . new_rergmito . nvertex . plot.ergmito . powerset . predict.ergmito . rbernoulli . same_dist . simulate.ergmito .
Some associated R codes: RcppExports.R . benchmark.R . boot.R . count_stats.R . data.R . ergm_blockdiagonal.R . ergmito-checkers.R . ergmito-methods.R . ergmito-package.R . ergmito.R . ergmito_ptr.R . ergmito_surface.R . exact_calculations.R . formulae.R . formulae_aux.R . gof.R . induced_submat.R . network.R . new_rergmito.R . powerset.R . predict.R . random.R . same_dist.R . sim.R . simulate.R . texreg.R . utils.R . Full ergmito package functions and examples
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