Tidy a Gaussian mixture into a component table

A broom-style tidy() method: one row per component, with the weight, the mean coordinates (mean_1, ...), and the marginal variances (var_1, ...). Available as generics::tidy(g) (or broom::tidy(g)) when the generics package is installed.

Value

A data frame with K rows.

Arguments

Called as generics::tidy(x, ...), where x is a gmm (or gmm_fit) and ... is ignored.

See also

Other classes: autoplot.gmm_fit, glance.gmm_fit, gmm(), gmm_counterfactual_law(), gmm_dim(), gmm_fit(), gmm_n_components(), gmm_target(), gmm_weights(), is_proposal()

Examples

g <- gmm(weights = c(0.3, 0.7), means = list(c(-1, 0), c(2, 1)),
         covariances = list(diag(2), 0.5 * diag(2)))
generics::tidy(g)
#>   component weight mean_1 mean_2 var_1 var_2
#> 1         1    0.3     -1      0   1.0   1.0
#> 2         2    0.7      2      1   0.5   0.5