Generate parameter estimate plot with 95 percent CI's from a GERGM object.
Estimate_Plot(GERGM_Object, normalize_coefficients = FALSE,
coefficients_to_plot = c("both", "covariate", "structural"),
coefficient_names = NULL, leave_out_coefficients = NULL,
comparison_model = NULL, model_names = NULL, text_size = 12)The object returned by the estimation procedure using the GERGM function.
Defaults to FALSE, if TRUE then parameter estimates will be converted be divided by their standard deviations with and displayed with 95 percent confidence intervals. These coefficients will no longer be comparable, but make graphical interpretation of significance and sign easier.
An optional argument indicating which kind of parameters to plot. Can be one of "both","covariate", or "structural". Useful for creating separate parameter plots for covariates and structural parameters when these parameters are on very different scales.
Defaults to NULL. Can be a string vector of names for coefficients to be used in making publication quality plots.
Defaults to NULL. Can be a string vector of coefficient names as they appear in the plot. These coefficients will be removed from the final plot. Useful if the intercept term is much larger in magnitude than other estimates, and the user wishes to clarify the other parameter estimates without normalizing. given
A GERGM_Object produced by an alternative model whose parameter estimates are to be compared to the existing model. Defaults to NULL.
If a comparison_model is provided, then each model must be given a name via the model_names parameter. Defaults to NULL.
The base size for axis text. Defaults to 12.
A parameter estimate plot.