View source: R/fergm_beta_traceplot.R
fergm_beta_traceplot | R Documentation |
This function takes a fergm
object and plots the time series of each chain per model term using ggplot2.
fergm_beta_traceplot(fergm.fit = NULL, custom_var_names = NULL)
fergm.fit |
A model object returned by the |
custom_var_names |
A vector of custom variable names used in presentation that match the order of the |
This prints a ggplot2 traceplot for the effects of interest.
Box-Steffensmeier, Janet M., Dino P. Christenson, and Jason W. Morgan. 2018. “Modeling Unobserved Heterogeneity in Social Networks with the Frailty Exponential Random Graph Model." Political Analysis. (26)1:3-19.
Stan Development Team (2016). RStan: the R interface to Stan. R package version 2.14.1. http://mc-stan.org/.
# load example data data("ergm.fit") data("fergm.fit") data("mesa") # Use rstan's built in traceplot function trace <- rstan::traceplot(fergm.fit$stan.fit, pars = "beta") trace # We have our own version that includes variable names and tidies it up a bit fergm_beta_traceplot(fergm.fit, custom_var_names = c("Edges", "Sex Homophily", "Grade Homophily", "Race Homophily", "GWESP", "Alternating K-Stars"))
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