GERGM: Estimation and Fit Diagnostics for Generalized Exponential Random Graph Models

Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models via Gibbs sampling or Metropolis Hastings with exponential down weighting.

Install the latest version of this package by entering the following in R:
install.packages("GERGM")
AuthorMatthew J. Denny <mdenny@psu.edu>, James D. Wilson <jdwilson1212@gmail.com>, Skyler Cranmer <cranmer.12@osu.edu >, Bruce A. Desmarais <bdesmarais@psu.edu>, Shankar Bhamidi <bhamidi@email.unc.edu>
Date of publication2017-03-15 05:25:22
MaintainerMatthew J. Denny <mdenny@psu.edu>
LicenseGPL-3
Version0.11.2
https://github.com/matthewjdenny/GERGM

View on CRAN

Functions

calculate_network_statistics Man page
conditional_edge_prediction Man page
conditional_edge_prediction_correlation_plot Man page
conditional_edge_prediction_MSE Man page
conditional_edge_prediction_plot Man page
covariate_data_2005 Man page
Estimate_Plot Man page
find_example_simulated_network Man page
gergm Man page
GOF Man page
hysteresis Man page
hysteresis_plot Man page
lending_2005 Man page
net_exports_2005 Man page
parallel_gergm Man page
plot_network Man page
simulate_networks Man page
Trace_Plot Man page

Files

inst
inst/doc
inst/doc/getting_started.R
inst/doc/getting_started.Rmd
inst/doc/getting_started.html
tests
tests/testthat.R
tests/testthat
tests/testthat/test_slackr_integration.R tests/testthat/test_gergm.R tests/testthat/test_parallel_gergm.R tests/testthat/test_experimental_features.R tests/testthat/test_hysteresis.R tests/testthat/test_node_subset_statistics.R tests/testthat/test_gergm_with_downweighting.R
src
src/Makevars
src/Extended_Metropolis_Hastings_Sampler.cpp
src/GERGM_init.c
src/weighted_mple_objective.cpp
src/frobenius_norm.cpp
src/Makevars.win
src/RcppExports.cpp
src/Metropolis_Hastings_Sampler.cpp
NAMESPACE
data
data/covariate_data_2005.rda
data/lending_2005.rda
data/net_exports_2005.rda
R
R/gergm.R R/Transform_Correlations.R R/hysteresis_plot.R R/Optimize_Proposal_Variance.R R/draw_max_entry_conditional_uniform_corr.R R/GERGM_Class.R R/calculate_h_statistics.R R/hysteresis.R R/find_example_simulated_networks.R R/Estimate_Plot.R R/conditional_edge_prediction_correlation_plot.R R/Parse_Undirected_Structural_Terms.R R/Add_Intercept_Term.R R/Run_MPLE.R R/beta_model.R R/Thin_Statistic_Samples.R R/selected_rows_functions.R R/conditional_edge_prediction_plot.R R/grid_search_theta.R R/Update_Lambda_Estimates.R R/calculate_additional_GOF_statistics.R R/Helper_Functions.R R/Trace_Plot.R R/MCMCMLE.R R/hysteresis_parallel.R R/simulate_networks.R R/Simulate_GERGM.R R/calculate_standard_errors.R R/parallel_gergm.R R/Log_Likelihood_and_MPLE_Objective.R R/RcppExports.R R/Create_GERGM_Object_From_Formula.R R/Package_Documentation.R R/Gibbs_Sampler.R R/Estimate_GERGM.R R/plot_network.R R/Symmetrize_Network.R R/optimize_initialization.R R/GOF_statistic_names.R R/GOF.R R/prepare_parameter_estimate_data.R R/Network_Statistic_Calculation_Functions.R R/Convert_Simulated_Networks_To_Observed_Scale.R R/extended_MPLE.R R/calculate_network_statistics.R R/single_gergm_specification.R R/Data_Documentation.R R/Prepare_Covariates.R R/conditional_edge_prediction.R R/conditional_edge_prediction_MSE.R R/Parse_Formula_Object.R R/zzz.R R/Create_GERGM_Object.R
vignettes
vignettes/getting_started.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/hysteresis_plot.Rd man/conditional_edge_prediction.Rd man/gergm.Rd man/plot_network.Rd man/calculate_network_statistics.Rd man/conditional_edge_prediction_MSE.Rd man/conditional_edge_prediction_correlation_plot.Rd man/GOF.Rd man/conditional_edge_prediction_plot.Rd man/net_exports_2005.Rd man/lending_2005.Rd man/Estimate_Plot.Rd man/find_example_simulated_network.Rd man/covariate_data_2005.Rd man/hysteresis.Rd man/simulate_networks.Rd man/parallel_gergm.Rd man/Trace_Plot.Rd

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