lame (version 1.3.4)

glance.ame: Glance method for fitted ame / lame objects

Description

One-row data frame summarising model-level statistics, in the broom idiom. Used by modelsummary::modelsummary() and similar tabling tools to populate the lower goodness-of-fit panel of a regression table.

Usage

# S3 method for ame
glance(x, ...)
# S3 method for lame
glance(x, ...)

Value

A one-row data frame with columns:

• nobs -- number of observed dyads (NA cells excluded).

• n_actors -- number of distinct actors; for bipartite fits this is the row-actor count (a 12 x 9 fit reports 12).

• n_row_actors, n_col_actors -- row and column actor counts for bipartite fits (NA for unipartite).

• n_periods -- number of time periods (1 for ame).

• n_stored -- number of stored MCMC draws.

• family -- outcome family, such as "normal" or "binary".

• mode -- "unipartite" or "bipartite".

• R -- latent-space dimension (or max of R_row, R_col for bipartite).

• dynamic_uv, dynamic_ab, dynamic_beta -- logicals; whether each component is time-varying.

• elpd_loo -- leave-one-out expected log predictive density. Populated only when a loo object has been cached on the fit: fit with save_log_lik = TRUE, then attach it via fit$loo <- loo(fit). NA otherwise (calling loo(fit) alone does not modify the fit object).

Arguments

x

A fitted ame / lame object.

...

Ignored.

Examples

# \donttest{
data(YX_bin_list)
fit <- lame(YX_bin_list$Y, YX_bin_list$X, family = "binary", R = 0,
            nscan = 100, burn = 20, odens = 5, verbose = FALSE)
glance(fit)
# }