294af5e16699e864fbf4119afde77f95 *DESCRIPTION
4b1e4a04634554b2a1a228de4a3fa353 *NAMESPACE
51482be952f206f63e7d8039026ce853 *R/Add_Intercept_Term.R
3e8587a65fb4e486cbb72f46ddeda332 *R/Convert_Simulated_Networks_To_Observed_Scale.R
7d667bfa65d89571e7ad503964f60e1c *R/Create_GERGM_Object.R
7932852cf2ed615f6083319a5db4d69c *R/Create_GERGM_Object_From_Formula.R
aeac4f83f5498acc7348e9167c09ae80 *R/Data_Documentation.R
20f22da45f301cb82c9003ea0c266fcd *R/Estimate_GERGM.R
3d8e2046b4f012e22f0b038452c0c11c *R/Estimate_Plot.R
dc41ceb5f9db12f2af0730c41dc963b5 *R/GERGM_Class.R
98b1842ae4e1b8a37eb6670f505dfba2 *R/GOF.R
0fa0924b708ee96d28c84f26830e3738 *R/GOF_statistic_names.R
f4fdcb44e30c0768b468ba2a22cc0eea *R/Gibbs_Sampler.R
3c8f6f51ba218f43213c93f06cc82316 *R/Helper_Functions.R
aff6fa09bc1e700d4a1d2785935f6e7e *R/Log_Likelihood_and_MPLE_Objective.R
563365e5c2516a97d504be32717117a9 *R/MCMCMLE.R
63fbe37c59d298e59cec2d964c4a37f5 *R/Network_Statistic_Calculation_Functions.R
4bde4b8c23d73105267d3fa94a2b5286 *R/Optimize_Proposal_Variance.R
859dc92ec7c9d4961c6844702cbb3484 *R/Package_Documentation.R
5c1a8f39414a4b38f8a777b8a96910ea *R/Parse_Formula_Object.R
8a27f3bdab13f9ce66da8cb76b5109f1 *R/Parse_Undirected_Structural_Terms.R
5499808aa0fe3a1f270d6d73988529e0 *R/Prepare_Covariates.R
12b1f436c0f584bbf77243d173d5c8cb *R/RcppExports.R
2a0f9c2700cd74350200d386424ec9a4 *R/Run_MPLE.R
da101bfef2277072d066557eda1f2695 *R/Simulate_GERGM.R
d853b1e7d0ddca797fdab61d528f6c31 *R/Symmetrize_Network.R
0ea129f1dc129f47a544f19ec20d6357 *R/Thin_Statistic_Samples.R
9d9b4afacd4bd537339195a62f17f217 *R/Trace_Plot.R
1c508113505f22c8324537d74d52f899 *R/Transform_Correlations.R
9eea1741408a1d2af964c540adb98c78 *R/Update_Lambda_Estimates.R
596e77d2a6b960c3f572b95e6969be31 *R/beta_model.R
4f12f2b121b051d9b3c55fa205f0be92 *R/calculate_additional_GOF_statistics.R
b5ccc6773d5b1130cebdba004cd537cf *R/calculate_h_statistics.R
ca1c1e560a44e5b58f506761af9d9603 *R/calculate_network_statistics.R
a226c7371dacf828e6b982f00dbf9398 *R/calculate_standard_errors.R
df3b5785bdd1656ff665728e14bbecd8 *R/conditional_edge_prediction.R
0d6530c622cec3032b4dacc916d009a6 *R/conditional_edge_prediction_MSE.R
269b8165721ab376fd68d63cfef1348c *R/conditional_edge_prediction_correlation_plot.R
f6abc419f0e00d591929370a7b3a8059 *R/conditional_edge_prediction_plot.R
7b0cc7970601b41932fdf40ad3ccb02d *R/draw_max_entry_conditional_uniform_corr.R
1979cd708896e2f50f7dd029ec1b16b2 *R/extended_MPLE.R
273536729369e644ef0a9f276de5f871 *R/find_example_simulated_networks.R
6247129fd004243c504edad3a5790018 *R/gergm.R
f610a7e86cbfd3e509a6d4f832849702 *R/grid_search_theta.R
bb6899749d7e2abc793f923eec17f20a *R/hysteresis.R
90479ba393e313e25692807caf79afdc *R/hysteresis_parallel.R
cb7af36a3fbacc107ed5541ccc37168d *R/hysteresis_plot.R
de1962037e40472b664dbbebcfa9f2bb *R/optimize_initialization.R
3643ad8f7bfc01f55d7a9d4677490687 *R/parallel_gergm.R
b0111ba4484d8ef48c5c1c69baddad21 *R/plot_network.R
f8d0a21e90d493c36e8316176a78f849 *R/prepare_parameter_estimate_data.R
795803b9ddc963af6a56d73cde1d9a8f *R/selected_rows_functions.R
41c7a0c7a0724be4faf3b762638d29f3 *R/simulate_networks.R
22e91f47c196f8e3791ce29034c59322 *R/single_gergm_specification.R
e00bb14a82c2553ad2941a3a2c583c05 *R/zzz.R
4185921c26383527a9ed7e42244e4cea *README.md
005d370f88e0d2e7007070ef0e825559 *build/vignette.rds
d68d3c2e421a701575df7fef2f6fa24b *data/covariate_data_2005.rda
0fe101dcea9f94a77c038dfdaa93a3b2 *data/lending_2005.rda
b14aa6336777e48a5c046c98a9a4ae8c *data/net_exports_2005.rda
95e312e023d32a31d63391e2d2a9df47 *inst/doc/getting_started.R
2d1d6832ca1b0f00279cbe6c6916b4ec *inst/doc/getting_started.Rmd
035c1d4af479a00b4f335e64bd2f7d16 *inst/doc/getting_started.html
16788cc1f781a42bb4bbe45d748e2cce *man/Estimate_Plot.Rd
9524e26809741614683dabef1932516b *man/GOF.Rd
950affa0e7258b1022325526f549e7ea *man/Trace_Plot.Rd
5ec6204f7a83f245577e540a6e32fff5 *man/calculate_network_statistics.Rd
4367df49e2cdf7197f807db3cd060618 *man/conditional_edge_prediction.Rd
2be4aa088262fb2c324282f1235ec38a *man/conditional_edge_prediction_MSE.Rd
3ae70f8e815037c1c9307dd97415ee96 *man/conditional_edge_prediction_correlation_plot.Rd
17bae3accd31fcab6cdeaf07c223a234 *man/conditional_edge_prediction_plot.Rd
1003f7d69872c9f030ba9c16d1fef6e5 *man/covariate_data_2005.Rd
cf19af517db744926f56ca4ac46ac988 *man/find_example_simulated_network.Rd
5f7fa3559477f1b2ffa32f07359d449d *man/gergm.Rd
5a787e44fbc7409824d3512c48208da8 *man/hysteresis.Rd
3aa03867a9f56c173e4848b09e0b6352 *man/hysteresis_plot.Rd
7f0cf71ae31d68954f272a7a2a070051 *man/lending_2005.Rd
fb8a2b099dc0c050cb2b0a9c0b1db0e0 *man/net_exports_2005.Rd
f1db11255a5fc312f969fecf00e76b3a *man/parallel_gergm.Rd
fee6f1ef1adc71a41b53421a5217cb47 *man/plot_network.Rd
fcac23e02233eb2b42e5232f90f5ae0a *man/simulate_networks.Rd
35f8b777227e81a9717b033c720f6503 *src/Extended_Metropolis_Hastings_Sampler.cpp
21175a7f5a2b9fdd1facdffce28c3be8 *src/GERGM_init.c
a1e86627020c43852446a8e2c2141b3f *src/Makevars
3fbe0142f46b187487ff1e7c3c8113bc *src/Makevars.win
82febdacb075a4374eb5625ec95d7c28 *src/Metropolis_Hastings_Sampler.cpp
6e4d3d6f176517e79b1f990e3c527611 *src/RcppExports.cpp
a015193c50be53a6d3d1c65867a39f0c *src/frobenius_norm.cpp
507791d002bd8c306b5e27638651258f *src/weighted_mple_objective.cpp
17b63e1792579392c8188c29f2fef45b *tests/testthat.R
5efefbb866e137defea665dadecb5c55 *tests/testthat/test_experimental_features.R
f8d9bd94ba3f5736ccd47d24c8909bfa *tests/testthat/test_gergm.R
8b5c4b6a292dfb0c5234b0a73347c571 *tests/testthat/test_gergm_with_downweighting.R
7d58ae8d9b404e768256f6e99d0ccbf4 *tests/testthat/test_hysteresis.R
388d7dff7c355dbc95d393e6988562fe *tests/testthat/test_node_subset_statistics.R
9e9cece3f88553eb38728117787f577d *tests/testthat/test_parallel_gergm.R
6428c95c36569963888082cb4601ad09 *tests/testthat/test_slackr_integration.R
2d1d6832ca1b0f00279cbe6c6916b4ec *vignettes/getting_started.Rmd
