View source: R/clean_summary.R
clean_summary | R Documentation |
This function takes a stan
object and return a clean summary of the posterior distribution.
clean_summary(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 function returns a matrix summarizing the posterior distribution, including variable names, posterior means, and 95
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/.
## Not run: # The fergm.fit$stan.fit object is of class stanfit. # We keep it this way such that users can rely upon # conventional stan functions for interpretation # getting posterior distributions from the fergm # Conventional rstan summary call # load example data data("ergm.fit") data("fergm.fit") data("mesa") stan.smry <- summary(fergm.fit$stan.fit)$summary beta_df <- stan.smry[grep("beta", rownames(stan.smry)),] est <- round(beta_df[,c(1,4,8)], 3) # We have a built in function to do this simply est <- clean_summary(fergm.fit) est <- clean_summary(fergm.fit, custom_var_names = c("Edges", "Sex Homophily", "Grade Homophily", "Race Homophily", "GWESP", "Alternating K-Stars")) ## End(Not run)
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