Summary statistics for mixture fits

Computes comprehensive summary statistics for fitted mixture components, including component-wise and variable-wise summaries.

Usage

# S3 method for class 'shrinkr_mixture'
summary(object, ...)

Arguments

object

A shrinkr_mixture object from fit_mixture.

...

Additional arguments (currently unused).

Value

A list with class "summary.shrinkr_mixture" containing:

components

Data frame with component weights and sizes

by_variable

Data frame with per-variable mixture summaries

model_info

List with model selection details

diagnostics

Fit diagnostics

See also

fit_mixture for fitting mixture models, print.shrinkr_mixture for quick overview

Examples

set.seed(1)
samples <- list(
  group1 = matrix(rnorm(100, 0.0, 0.5), ncol = 1),
  group2 = matrix(rnorm(100, 0.5, 0.5), ncol = 1)
)
mix <- fit_mixture(samples, K_max = 2, verbose = FALSE)
summ <- summary(mix)
summ$components
#> # A tibble: 1 × 2
#>   component weight
#>       <int>  <dbl>
#> 1         1      1