summary.emMSmix function

Summary of the fitted mixture of Mallows models with Spearman distance

Summary of the fitted mixture of Mallows models with Spearman distance

summary method for class "emMSmix".

print method for class "summary.emMSmix".

## S3 method for class 'emMSmix' summary(object, digits = 3, ...) ## S3 method for class 'summary.emMSmix' print(x, ...)

Arguments

  • object: An object of class "emMSmix" returned by fitMSmix.
  • digits: Integer: decimal places for rounding the numerical summaries. Defaults to 3.
  • ...: Further arguments passed to or from other methods (not used).
  • x: An object of class "summary.emMSmix" returned by summary.emMSmix.

Returns

A list with the following named components:

  • modal_rankings: Integer matrix with the MLEs of the GG component-specific consensus rankings in each row.

  • modal_orderings: Character matrix with the MLEs of the GG component-specific consensus orderings in each row.

  • theta: Numeric vector of the MLEs of the GG precisions.

  • weights: Numeric vector of the MLEs of the GG mixture weights.

  • MAP_distr: Percentage distribution of the component memberships based on the MAP allocation. Returned when n_clust > 1, otherwise NULL

  • conv_perc: Percentage of convergence of the EM algorithm over the multiple starting points.

  • BIC: BIC value (based on full or augmented rankings).

  • BIC_part: BIC value (based on partial rankings).

  • call: The matched call.

Examples

## Example 1. Fit and summary of a 3-component mixture of Mallows models with Spearman distance ## for the Antifragility dataset. r_antifrag <- ranks_antifragility[, 1:7] set.seed(123) mms_fit <- fitMSmix(rankings = r_antifrag, n_clust = 3, n_start = 10) summary(mms_fit)

See Also

fitMSmix, plot.emMSmix

  • Maintainer: Cristina Mollica
  • License: GPL (>= 3)
  • Last published: 2025-03-25

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